Service-centric Networking

Blockchain

Crypto Sentiment Advisor 2021

The goal of the EIT project Crypto Sentiment Advisor is to develop a real time sentiment analysis platform for the top 20 cryptocurrencies, so that investors can gain better insight into the current community mood. The sentiment is sourced from public online social communities such as Twitter and Reddit, where many users share their thoughts on current developments. In terms of technology, the solution leverages state of the art streaming architectures such as Apache Kafka, and recent methods including lexicon-based analysis like Vader and deep learning approaches such as word embeddings.

Time Frame:01/ 2021 - 12/ 2021 
SNET Team:Friedhelm Victor, Aikaterini Katsarou 
Students:Grigori Akimov 
Partners:RC Capital Management, Experientia, E-Group, TU Berlin 
Funding by:EIT Digital 

FREJA 2021

Freja is an EIT Digital project in the area of “Digital Wellbeing” to build robotic showers that support elderly and fragile people with their personal hygiene. In 2021 the project’s goal is to build a framework called Hugin that collects and structures data from the Freja showers to monitor usage statistics of installed devices in homes. Hugin will be deployed in a serverless manner, providing an on-demand execution, a high level of automation and extensibility.

Time Frame:01/ 2021 - 12/ 2021  
SNET Team:Maria Mora Martinez  
Partners:Robotics Care, Nordic Electronic Partner Västerås, TU Berlin  
Funding by:EIT Digital  

WALDO 2021

The WALDO project is about finding the needle in the haystack. The “Widely Applicable Library for Detection of Outliers” is an EIT funded project, in which TU Berlin works in conjunction with industry leading project partners.

The key output of the project is an open-source framework to detect outliers in large datasets. The focus lies on state of the art machine learning techniques for anomaly detection, as well as custom tailored data visualisation. With modularity at it’s core, the projects architecture was developed with flexibility in mind. WALDO can be easily set-up and customised to cater to a wide variety of use-cases and industries.

Time Frame:01/ 2021 - 12/ 2021 
SNET Team:Aljoscha Schulte, Christoph Schulthess 
Students:Uttam Dhakal, Zohaib Khan 
Partners:Bright Cape, Nokia, TU Berlin 
Funding by:EIT Digital 

CityBeamer 2020

The EIT project CityBeamer will develop a platform to enable an easy introduction of micro-mobility providers to cities, unserved regions, and private venues. The project will also utilize distributed ledger technologies to ensure the truthful interplay of different companies in order to provide the mobility services. The openness of the platform enables shared use of services such as charging, maintenance, and responsibilities.

Time Frame:01/ 2020 - 12/ 2020  
SNET Team:Marcel Müller, Friedhelm Victor  
Students:Marcel Ebermann  
Partners:Bike.IT, Datacon, InnoTractor BV, Telekom Italia, TU Berlin  
Funding by:EIT Digital  

DISCO 2020

The DISCO project intends to enhance interoperability between distributed ledgers without introducing intermediaries or economic assumptions. Currently, Smart Contracts are tightly coupled to their host Blockchain and inherit respective properties such as throughput, access model and system security. The project’s target is to loosen this strong dependency by enabling Smart Contract migrations between different Blockchain networks. Interconnected Smart Contracts may be distributed across multiple Blockchain networks due to varying technical or organisational requirements. The platform-independent operation of Smart Contracts is facilitated for the development process as well as on an operational level by providing verifiable information exchange between distinct Blockchain networks.

The DISCO project has been chosen to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

Time Frame:01/ 2020 - 12/ 2020  
SNET Team:Martin Westerkamp  
Partners:HUAWEI TECHNOLOGIES Deutschland GmbH  
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF)  

SSI4DE 2020

With 5 consortial partners and 15 additional associate partners, the ambitious SSI4DE project is bringing Self Sovereign Identity to Germany with one goal in mind: Empowering the individuals to own and control their own digital identities. Funded by BMWi (Bundesministerium für Wirtschaft und Energie), SSI4DE is creating the modern infrastructure for digital issuance of credentials from institutions and verifications of those credentials for service providers while giving the individuals the power to share which credentials they want to share with the service providers.

SSI4DE is covering a vast amount of industries and sectors. Banking, eGovernment and student services are only few of the many areas, which the large cross disciplinary, multi-corporational and multi-institutional SSI4DE team is working on. Privacy by design, powered by distributed ledger technologies and keeping interoperability in mind, SSI4DE is technologically equipping Germany for the digital era.

Time Frame:06/ 2020 - 11/ 2020 
SNET Team:Sebastian Zickau, Hakan Yildiz 
Students:Grigori Akimov, Uttam Dhakal 
Partners:Main Incubator GmbH, Bundesdruckerei GmbH, esatus AG, Robert Bosch GmbH, TU Berlin 
Funding by:BMWi (Bundesministerium für Wirtschaft und Energie) 
Website:www.idunion.org 

DIMS 2019

DIMS envisions a decentralized Pan-European platform for identity information in the digital age. It enables an identity solution with the power and trust of distributed ledger technology, the principles of self-sovereignty and in compliance with the relevant EU legislation. European service providers as well as European citizens will benefit from the integrated solution of the self-sovereign identity management system. On the one hand, to cut costs on how to use customer data to provide public services that will work across borders. On the other hand, for citizen to have a one-stop solution for their digital identity information. DIMS will support a regulated exchange of identity information among European service providers.

Time Frame:01/ 2019 - 12/ 2019  
SNET Team:Sebastian Zickau, Zoltán Lux  
Students:Ömer Malik Ilhan, Santhos Baala Ramalingam Santhanakrishnan, Marcel Ebermann  
Partners:OTP Bank, E-Group, Poste Italiane, CWI NL  
Funding by:EIT Digital  
Website:www.dims-project.eu  

GRAVITY 2019

The goal of DiLLaS is to provide a distributed ledger for the secure and trustworthy storage of events that occur during the transport of goods. A DiLLaS Mobile App will act as client for the ledger and is intended as a means for all participants of a logistic chain to securely log a registration, deregistration and handover of a parcel within the distributed ledger. In combination with GRAVITY, the DiLLaS Mobile App will in addition be able to check the status of sensors that are attached to the parcels such temperature or humidity sensors and to log violations of predefined delivery conditions within the distributed ledger. Since DiLLaS makes use of Blockchain technology to persist the events and their related data in an immutable, transparent and distributed manner, common incidents such as lost or delayed parcels can be securely traced back to its originators. With the commonly approved log of logistic events in DiLLaS, logistic operators will be able to improve their efficiency in terms of parcel delivery time by identifying bottle necks, costs per parcel by identifying unreliable partners and the quality of service by evaluating if parcels are delivered according to the predefined delivery conditions such as a constant temperature or an acceptable intensity of shocks for goods of high value. 

GRAVITY is an innovation action in the focus area of „Digital Industry“, funded by and in cooperation with partners of the European Institute of Technology (EIT Digital). The project aims to ease and simplify the development of IoT applications using the GRAVITY IoT middleware and to provide a distributed ledger for logistics and supply chain management (DiLLaS) as a first domain-specific application on top of GRAVITY.

Time Frame:01/ 2019 - 12/ 2019  
SNET Team:Sandro Rodriguez Garzon, Marcel Müller  
Partners:InnoTractor, Datacon, Ericsson, PosteItaliane, Centrum Wiskunde & Informatica, TU Berlin  
Funding by:EIT Digital  

Identity Chain Management 2018

With IdentityChain, service providers like financial institutions will be able to provide their services to customers in a faster and cheaper way by verifying a customer's digital identity - as unforgeable proven by an attester - using a distributed identity management platform instead of running an own costly KYC process. Customers will have exclusive rights to grant or revoke service providers access to particular attributes of their proven digital identity via an easy-to-use and well-designed mobile application.

Time Frame:01/ 2018 - 12/ 2018 
SNET Team:Bersant Deva, Sebastian Zickau, Sandro Rodriguez Garzon 
Students:Ömer Malik Ilhan 
Funding by:EIT Digital 
Partner:Telekom/ T-Labs, ING NL, CWI NL 

PROCEED 2018

The PROCEED project has been chosen as one of the most innovative IT projects in 2017 to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

The PROCEED project intends to develop a distributed business process execution environment, without a central coordinator. The business process management system replaces the central one with a distributed execution unit with several, dynamically integrated devices. A process is then not executed in a centralized architecture, but separated on multiple systems. Such an approach can provide promising benefits, such as increasing reliability, integrating IoT devices, and improving privacy.

Time Frame:03/ 2018 - 12/ 2020 
SNET Team:Kai Grunert 
Students:Kai Rohwer, Elitsa PankowskaJanis Joderishoferi, Lucas Gold
Partners:Scheer GmbH 
Funding by:EIT Digital 
Website:https://dbpms-proceed.gitlab.io/proceed-documentation-website/ 

TYDR 2017

TYDR - Track Your Daily Routine is a an international inter-disciplinary project researching the relationship between smartphone usage and personality. Within the DYNAMIC project, we developed the Android app TYDR to collect smartphone usage statistics and personality trait scores from users. The research focuses on privacy aspects, context-aware computing, and data analysis.

Context-aware computing considers information about the user when providing services. Typically, this is information like the location or the weather. Several domains of applications like mobile health or recommender systems could benefit from information about the personality of the user in order to provide more individually tailored services. Filling out personality questionnaires can be tedious though.

As an international inter-disciplinary group of computer science and psychology researchers, we want to research to what extend the personality of the user can be predicted by smartphone usage statistics. To collect data to further analyze this, we developed an Android app called TYDR - Track Your Daily Routine. With this app, we collect smartphone usage statistics labeled with personality trait scores.

Time Frame:01/ 2017 - 
SNET Team:Felix Beierle 
Partners:University of Zurich, University of Regensburg, Danube University Krems, Ulm University, University of Kassel 
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF); University of Zurich - Digital Society Initiative 
Website:https://www.tydr.de/ 

ENtRANCe 2014

To the extent possible, the Entrance project will define and deliver an Open Source Platform for a secure and privacy aware exchange of data. Today, especially common Internet users use several services (eMail, Facebook, Flickr…) in order to share whatever data or information with friends, colleagues or family members. Normally, this is accompanied by a loss of control over this data. Entrance focuses on this disadvantage by using efficient and state of the art technologies and standards in order to give control and management capabilities back into the hands of the data owner.  

Entrance is funded by the German ministry of education and research (Bundesministerium für Bildung und Forschung, BMBF) as part of the SoftwareCampus initiative.

The project Entrance has been chosen as one of the most innovative IT projects in 2014 to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

Time Frame:03/ 2014 - 07/ 2016  
SNET Team:Dirk Thatmann  
Students:Artjom Butyrtschik, Philip Raschke  
Partner:Telekom Innovation Laboratories  
Funding by:Software Campus, Federal Ministry of Education practical and Research (BMBF)  

TRESOR 2012

TRESOR is a project selected within the Trusted Cloud technology competition, which is going to be funded by the Federal Ministry of Economics and Technology (BMWi).

The main objective of TRESOR is the development of a cloud ecosystem that consists of an open platform for cloud services and a cloud broker. The first component provides a marketplace for cloud services based on well-established standards maximizing interoperability between different cloud providers. In that way, cloud services can be easily combined and integrated into several applications leading to cost savings and decreasing dependencies, so-called lock-in effects, to certain cloud providers. The cloud broker, on the other hand, mediates, combines and allows the access to those cloud services by taking enterprise guidelines, regulations by law and security policies into consideration. Furthermore, the broker applies new concepts of location-aware service usage and data storage.

Time Frame:03/ 2012 - 02/ 2015 
SNET Team:Mathias Slawik, Sebastian Zickau, Dirk Thatmann, Gökhan Coskun 
Students:Philip Raschke 
Partners:T-Systems International GmbH, UBIRY GmbH, Deutsches Herzzentrum Berlin, Paulinenhaus Krankenanstalt e.V. Berlin, medisite Systemhaus GmbH 
Funding by:Bundesministerium für Wirtschaft und Technologie 

Cloud Computing

IdentityChain 2018

With IdentityChain, service providers like financial institutions will be able to provide their services to customers in a faster and cheaper way by verifying a customer's digital identity - as unforgeable proven by an attester - using a distributed identity management platform instead of running an own costly KYC process. Customers will have exclusive rights to grant or revoke service providers access to particular attributes of their proven digital identity via an easy-to-use and well-designed mobile application.

Time Frame:01/ 2018 - 12/ 2018 
SNET Team:Bersant Deva, Sebastian Zickau, Sandro Rodriguez Garzon 
Students:Ömer Malik Ilhan 
Funding by:EIT Digital 
Partner:Telekom/ T-Labs, ING NL, CWI NL 

IC4F 2017

IC4F - Industrial Communication for Factories is the flagship project with the goal of developing safe, robust, and real- time communication solutions for the manufacturing industry. By mid of 2020, 15 project partners from industry and research will develop a technology toolkit for a trustworthy infrastructure based on industrial information and communications technology (ICT). The project strives for an open architecture that extends across domains and allows a modular extension for new applications and communication technologies. In particular, the technology kit will enable users to select a specific migration path along with the right ICT technologies according to the new requirements in the scope of the industrial Internet / Industry 4.0. The project is supported by the Federal Ministry of Economics and Energy (BMWi) within the PAiCE funding program.

IC4F addresses the required confluence of information and communications technology as well as automation for upcoming use cases in the scope of Industry 4.0, i.e., the Industrial Internet. In particular, IC4F aims to build an reference architecture for communication technologies and a modular technology toolkit for a reliable industry communication and computing infrastructure.

The flagship project IC4F specifically targets future industrial applications and accordingly will present a communication reference architecture. In particular, the goal is a modular approach to enable a flexible composition of components. Key technologies include 5G, Multi-access Edge Computing (MEC), cloud computing, virtualization, as well as industrial monitoring and analytics. The realization requires a holistic view on the underlying infrastructure – basically an Industrial Internet.

Time Frame:03/ 2017 - 06/ 2020 
SNET Team:Dr. Sandro Rodriguez Garzon, Felix Beierle 
Students:Yong Wu 
Partners:BOSCH, brown-iposs, Deutsche Telekom, Fraunhofer, GPS, MAG, NOKIA, rt-solutions, Schindler, SIEMENS, Still, TU Berlin, TU Karlsruhe, Universität Stuttgart 
Funding by:PAiCE funding program, German Federal Ministry for Economic Affairs and Energy (BMWi) 
Website:https://www.ic4f.de/ 

Cyclone 2015

CYCLONE is a Horizon 2020 innovation action funded by the European Commission which aims at integrating existing cloud management software to allow a unified management of federated clouds.

CYCLONE integrates Network-as-a-Service, application deployment, service access management as well as end-to-end security solutions. The integration will be validated in diverse application areas, such as bioinformatics, high-energy physics, and cloud application service provisioning.

Both academic and commercial application service providers have embraced Infrastructure-as-a-Service (IaaS) cloud offerings for their complex applications which require elasticity, flexibility, and dynamic resource provisioning.

These complex applications are often distributed between cloud infrastructures to provide resilience against cloud provider outages, higher levels of elasticity, and better response times for their users by placing services near the clients. Moreover, they are often designed to scale automatically in response to demand and to permit live upgrades of the underlying software.

CYCLONE's software and tools will facilitate the deployment, management, and use of complex, multi-cloud applications, and enhance the end-to-end security of those applications.

Time Frame:01/ 2015 - 12/ 2017 
SNET Team:Dr. Mathias Slawik, Dirk Thatmann, Erik Berdonces Bonelo, Begüm Ilke Zilci, Dr. Sebastian Göndör 
Students:Ömer Malik Ilhan 
Partners:Interoute, QSC AG, SixSq, Centre National de la Recherche Scientifique IFB and LAL, i2cat, University of Amsterdam 
Funding by:European Commission 
Website:https://www.cyclone-project.eu/ 

reThink 2015

reTHINK – Trustful hyper-linked entities in dynamic networks

The main goal of the reTHINK project is to design and prototype a new, non telecom centric, but Web-centric P2P Service Architecture enabling dynamic trusted relationships among distributed applications called Hyperlinked Entities (“Hyperties”) that support use-cases beyond commoditized telephony such as contextual and social communications, M2M/IoT and content oriented services. This project will enable any type of service delivery through specialized end-to-end network quality commitments, powered by specialized P2P and/or Cloud services (delivered as SaaS, PaaS or IaaS).

Time Frame:01/ 2015 - 06/ 2017 
SNET Team:Dr. Sebastian Göndör, Sebastian Zickau, Felix Beierle 
Students:Berken Bayat, Ishan Tiwari, Tomasz Tkaczyk, Tianlong Du, Senan Sharhan, Song Du 
Partners:Deutsche Telekom AG, EURESCOM, Orange SA, Portugal Telecom Inovacao e Sistemas SA, Fraunhofer-Gesellschaft e.V., Apizee, Institut Mines-Telecom, INESC ID, QUOBIS Networks SL, Technische Universität Berlin 
Funding by:European Union 

Curcuma 2014

Curcuma has been chosen as one of the IT projects in 2014 to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

Curcuma (Cloud Computing Location Metadata) is a research project that aims at using location information and metadata structures within cloud computing environments to protect, enrich and structure files and limit access to information and cloud resources using dedicated containers.

 

The location information of mobile clients and server ecosystems come into operation when accessing files. The location information on a mobile client is dynamic. This dynamic location attribute is considered when granting access to cloud data. The cloud data is secured with attribute-based encryption (ABE) policies which include viable location information within the access rule. The notion of dynamic attributes enriches this field of research. But not only will the location of the accessing device come into play within the Curcuma scenarios, also the server location is considered when deciding where to store the data with regards to privacy and data protection concerns.

The cloud data itself will be enriched with semantic meta-information to bound the access information to personal user information and the content data itself. Access histories of highly sensitive data, such as personal health records (PHR), will be stored within the metadata structures of the container files. This should be seen as an optional feature which will be applied only to highly personal information.

A subproject of Curcuma is the Open Cloud Computing Map (OCCMap) which provides the basis for the (visual and non-visual) server location information of different cloud computing providers and interlinks to sources regarding data protection laws and other linked-data information. The data provided by the OCCMap will be offered in a structured semantic manner to be included in other open and linked data initiatives.

Contributions of Curcuma will be made in the fields of meta-data structures, semantic linked data, dynamic ABE security/access features, such as location-based access control (LBAC), as well as mobile cloud and mobile data scenarios.

Time Frame:03/ 2014 - 02/ 2016 
SNET Team:Felix Beierle, Sebastian Zickau 
Students:Iwailo Denisow 
Partners:Telekom Innovation Laboratories, Technische Universität Berlin 
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF) 

Tresor 2012

TRESOR is a project selected within the Trusted Cloud technology competition, which is going to be funded by the Federal Ministry of Economics and Technology (BMWi).

The main objective of TRESOR is the development of a cloud ecosystem that consists of an open platform for cloud services and a cloud broker. The first component provides a marketplace for cloud services based on well-established standards maximizing interoperability between different cloud providers. In that way, cloud services can be easily combined and integrated into several applications leading to cost savings and decreasing dependencies, so-called lock-in effects, to certain cloud providers. The cloud broker, on the other hand, mediates, combines and allows the access to those cloud services by taking enterprise guidelines, regulations by law and security policies into consideration. Furthermore, the broker applies new concepts of location-aware service usage and data storage.

Time Frame:03/ 2012 - 02/ 2015 
SNET Team:Mathias Slawik, Sebastian Zickau,Dirk Thatmann, Gökhan Coskun
Students:Philip Raschke 
Partners:T-Systems International GmbH, UBIRY GmbH, Deutsches Herzzentrum BerlinPaulinenhaus Krankenanstalt e.V. Berlin, medisite Systemhaus GmbH
Funding by:Bundesministerium für Wirtschaft und Technologie 

Data Science

ALMA 2020

The ALMA project has been chosen to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

The goal of ALMA is to design and develop a holistic AIOps module for the automated maintenance of a public-cloud environment. For this purpose, novel methods for aggregating different data sources are designed and a combination of rule-based and statistical methods as well as machine learning methods are implemented. Overall, this should enable the early detection of relevant performance anomalies and their automated root cause analysis.

Time Frame:01/ 2020 – 12/ 2021 
SNET Team:Tanja Hagemann, Aikaterini Katsarou 
Partners:HUAWEI TECHNOLOGIES Deutschland GmbH 
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF); University of Zurich - Digital Society Initiative 

eBiz 2019

eBiz (Business Information Zone) is an innovation action in the Exploration Area „Digital Finance“ funded by and in cooperation with partners of EIT Digital. The project aims at introducing an innovative financial product, allowing small and medium enterprises to safely, transparently, immediately and cost-efficiently perform financial and administrative tasks, first limited to Hungary, and to be released later in the CEE region. In this context, the project allows to develop and validate both state of the art and novel methods in the area of financial machine learning and graph theory to generate valuable new insights and to classify and predict financial transactions.

EIT Digital, the leading European digital innovation and entrepreneurial education organization, has recently opened an „Exploration Area“ to explore Digital Finance, focusing on the delivery of innovative financial products and services through digital technologies, making financial systems more reliable and transparent.

In this context, based on the idea that small and medium enterprises, coming from many different areas such as marketing, tech and industry, do not have the time to focus on their financials, eBiz (Business Information Zone) introduces a novel, disruptive and non-traditional kind of fintec approach, allowing its business customers to have all their financials in one place.

Captured in a novel mobile financial transaction and business administration solution, the resulting product allows SMEs and startups to safely and efficiently perform financial and administrative tasks, including reviewing, generating and transmitting invoices, initiating transactions and being provided with valuable information about its business partners anywhere and anytime to focus on their core business and new opportunities.

Building on graph theory, the network arising from the financial transactions does not only allow business partners to locate themselves within the network, but also can its structure be utilized to integrate features of a recommender system. This can be employed both for recommending new products of the bank to the customer companies and and to identify potential business partners - suggesting new business relationships among participating SMEs decreases the mutual uncertainty and allows for a more efficient risk management.

eBiz will be launched first in Hungary with OTP Bank as the initial banking partner, providing a basis for the initiation of channels to other banks, the addition of more services and features and releases in the CEE region, including Bulgaria, Croatia, Romania and Slovakia.

Time Frame:01/ 2019 – 12/ 2019 
SNET Team:Friedhelm Victor, Hai Dinh Tuan 
Students:Ksenia Legostay, Pervaiz Khan 
Partners:OTP Bank, ELTE University, Deutsche Telekom, TU Berlin 
Funding by:EIT Digital 

SPECIAL 2017

SPECIAL (Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance) is a Horizon 2020 Research and Innovation Action. The project will address the contradiction between Big Data innovation and privacy-aware data protection by proposing a technical solution that makes both of these goals realistic. SPECIAL will develop technology that: (i) supports the acquisition of user consent at collection time and the recording of both data and metadata (consent, policies, event data, context) according to legislative and user-specified policies; (ii) caters for privacy-aware, secure workflows that include usage/access control, transparency and compliance verification; (iii) demonstrates robustness in terms of performance, scalability and security all of which are necessary to support privacy preserving innovation in Big Data environments; and (iv) provides a dashboard with feedback and control features that make privacy in Big Data comprehensible and manageable for data subjects, controllers, and processors.

SPECIAL will allow citizens and organisations to share more data, while guaranteeing data protection compliance, thus enabling both trust and the creation of valuable new insights from shared data. Our vision will be realised and validated via real world use cases that - in order to be viable - need to overcome current challenges concerning the processing and sharing of data in a privacy preserving manner. In order to realise this vision, SPECIAL will combine and significantly extend big data architectures to handle Linked Data, harness them with sticky policies as well as scalable queryable encryption, and develop advanced user interaction and control features: SPECIAL will build on top of the Big Data Europe and PrimeLife Projects, exploit their results, and further advance the state of the art of privacy enhancing technologies.

Time Frame:01/ 2017 – 12/ 2019 
SNET Team:Philip Raschke 
Partners:GEIE Ercim, WU-Wien, Centro Regionale Information Communication Technology, Technische Universität Berlin / SNET, Unabhängiges Landeszentrum für Datenschutz, TenForce BVBA, Deutsche Telekom AG (T-Labs), Thomson Reuters Group Limited, PROXIMUS 
Funding by:European Commission, Horizon2020 
Website:www.specialprivacy.eu 

STEAM 2015

The STEAM project has been chosen as one of the most innovative IT projects in 2015 to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

The research project STEAM enables the combination of spatio-temporal Data Mining methods and Big Data technologies to support the development of next-generation Location-based Services. A key objective of STEAM is to provide a platform which allows the applicable analysis of movement. The platform allows the input of heterogeneous data streams and enables the computation of advanced spatio-temporal insights.

Time Frame:04/ 2015 – 03/ 2017 
SNET Team:Bersant Deva, Philip Raschke 
Students:Soumya Ranjan Parida 
Partners:Telekom Innovation Laboratories, Technische Universität Berlin 
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF) 

Street Smart Retail 2014

Street Smart Retail is the current high impact initiative of the Action Line Smart Spaces of the EIT Digital. The goal of this activity is to boost local businesses for instance by introducing ways to understand customer movement, intentions and their shopping profile and to offer more personalized services.

Street Smart Retail aims to provide a Digital Retail Suite that enables retailers to bridge the electronic and physical commerce. The Digital Retail Suite is a combination of a cloud computing service model and the provision of data analytics as a service. These technologies enhance the traditional customer relationship management tools for the retailers and provide enhanced means for smart retail in the 21st century.

Within the scope of this project the Service-centric Networking group at TU Berlin explores novel approaches to analyze and learn from spatio-temporal position data and use these insights to discover new means for providing location-based services.

Time Frame:10/ 2014 – 12/ 2015 
SNET Team:Bersant Deva, Dr. Sandro Rodriguez Garzon, Dr. Peter Ruppel 
Partners:Deutsche Telekom, German Research Center for Artificial Intelligence (DFKI), University of Helsinki 
Funding by:EIT Digital 

Social Networking

TYDR 2017

TYDR - Track Your Daily Routine is a an international inter-disciplinary project researching the relationship between smartphone usage and personality. Within the DYNAMIC project, we developed the Android app TYDR to collect smartphone usage statistics and personality trait scores from users. The research focuses on privacy aspects, context-aware computing, and data analysis.

Context-aware computing considers information about the user when providing services. Typically, this is information like the location or the weather. Several domains of applications like mobile health or recommender systems could benefit from information about the personality of the user in order to provide more individually tailored services. Filling out personality questionnaires can be tedious though.

As an international inter-disciplinary group of computer science and psychology researchers, we want to research to what extend the personality of the user can be predicted by smartphone usage statistics. To collect data to further analyze this, we developed an Android app called TYDR - Track Your Daily Routine. With this app, we collect smartphone usage statistics labeled with personality trait scores.

Time Frame:01/ 2017 - 
SNET Team:Felix Beierle 
Partners:University of Zurich, University of Regensburg, Danube University Krems, Ulm University, University of Kassel 
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF); University of Zurich - Digital Society Initiative 
Website:https://www.tydr.de/ 

Dynamic 2016

The DYNAMIC project has been chosen as one of the most innovative IT projects in 2016 to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

DYNAMIC deals with distributed online social networks and with the creation of dynamic social graphs based on location, context, and profile data. In current Online Social Networks, relations between users are mostly based on explicitly created connections. In DYNAMIC, we want to extend the concept of explicit connections by implicit, dynamic social graphs. Those graphs will be created on the users' mobile devices, based on locally collected data. The dynamic social graphs with their qualified relations can be utilized for applications like search, recommendation, the dissemination of messages, or the estimation of trust levels between users that are not yet connected.

Time Frame:03/ 2016 - 08/ 2018  
SNET Team:Felix Beierle  
Students:Sakshi Bansal, Marcel Müller, Vinh Thuy Tran  
Partners:Telekom Innovation Laboratories, Technische Universität Berlin  
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF)  
Website:www.dynamic-project.de  

reThink 2015

reTHINK – Trustful hyper-linked entities in dynamic networks

The main goal of the reTHINK project is to design and prototype a new, non telecom centric, but Web-centric P2P Service Architecture enabling dynamic trusted relationships among distributed applications called Hyperlinked Entities (“Hyperties”) that support use-cases beyond commoditized telephony such as contextual and social communications, M2M/IoT and content oriented services. This project will enable any type of service delivery through specialized end-to-end network quality commitments, powered by specialized P2P and/or Cloud services (delivered as SaaS, PaaS or IaaS).

Time Frame:01/ 2015 - 06/ 2017 
SNET Team:Dr. Sebastian Göndör, Sebastian Zickau, Felix Beierle 
Students:Berken Bayat, Ishan Tiwari, Tomasz Tkaczyk, Tianlong Du, Senan Sharhan, Song Du 
Partners:Deutsche Telekom AG, EURESCOM, Orange SA, Portugal Telecom Inovacao e Sistemas SA, Fraunhofer-Gesellschaft e.V., Apizee, Institut Mines-Telecom, INESC ID, QUOBIS Networks SL, Technische Universität Berlin 
Funding by:European Union 

SONIC 2014

The project SONIC has been chosen as one of the most innovative IT projects in 2014 to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

SONIC (SOcial Network Interconnect) is a research project that aims at developing an innovative concept for online social networks (OSN) that addresses problems of current OSN platforms. SONIC mainly focuses on novel concepts for privacy, security, and interoperability issues.
As part of SONIC, innovative protocols and algorithms will be designed and implemented, which allow seamless communication and data exchange between different brands and types of OSN platforms. The proposed solution facilitates a seamless integration of different OSN platforms and allows users of these services to change operator and platform at any time without losing any data.
SONIC is funded by the German ministry of education and research (Bundesministerium für Bildung und Forschung, BMBF) as part of the SoftwareCampus initiative.

Time Frame:03/ 2014 - 07/ 2016  
SNET Team:Sebastian Göndör, Felix Beierle  
Students:Hussam Hebbo, Senan Sharhan, Evren Küçükbayraktar  
Partners:Telekom Innovation Laboratories  
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF)  
Website:http://sonic-project.net/  

Ubiquitous Computing

Flash Poll

FlashPoll is a project funded by the EIT Digital. The strategic Business Plan of EIT Digital is to become a leading force in European innovation through integrating and reorganizing the knowledge triangle of education, research, and business (ERB). The Business Plan 2013 of EIT Digital is composed of activities belonging to Action Lines integrating ERB, as well as activities developing and maintaining specific ERB catalysts and offering their services to action lines.

Within the scope of the action line Digital Cities of the Future, the objective of FlashPoll is the development of a location-based and context-aware polling app that provides a direct communication channel between citizens and administrators in order to enable citizen participation in urban planning decisions.

Our group focuses on the implementation of a Positioning Enabler and a Context Data Crowdsourcing Platform. The Positioning Enabler provides an efficient background tracking functionality, therefore enables polling the "right/relevant" citizens based on their location with the respect to a poll. Moreover, the Positioning Enabler acts as a mediator bringing Municipalities and citizens together. The Context Data Crowdsourcing Platform, on the other hand, is used to collect and analyze user context. This context data will be semantically interconnected to open datasets, such as the OpenMobileNetwork or Berlin Open Data, in order to exploit the power and richness of open datasets for innovative, sophisticated, and directed flash polls.

PARADISE 2016

The privacy project PARADISE is funded by the Federal Ministry of Education and Research (BMBF). The project goal is to increase confidentiality and privacy of athletes' whereabouts data in the context of national anti-doping controls. Together with our partners and the National Anti-Doping Agency (NADA) as an associated partner, we are improving the privacy aspects of national athletes by introducing a privacy-enhancing anti-doping environment.

Time Frame:01/ 2016 - 17/ 2017  
SNET Team:Sebastian Zickau  
Students:-  
Partners:Fraunhofer FIT, Fraunhofer AISEC, gekko, UNiSCON, NADA (associated)  
Funding by:Federal Ministry of Education and Research (BMBF)  
Website:http://www.privacy-paradise.de/  

STEAM 2015

The STEAM project has been chosen as one of the most innovative IT projects in 2015 to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

The research project STEAM enables the combination of spatio-temporal Data Mining methods and Big Data technologies to support the development of next-generation Location-based Services. A key objective of STEAM is to provide a platform which allows the applicable analysis of movement. The platform allows the input of heterogeneous data streams and enables the computation of advanced spatio-temporal insights.

Time Frame:04/ 2015 – 03/ 2017 
SNET Team:Bersant Deva, Philip Raschke 
Students:Soumya Ranjan Parida 
Partners:Telekom Innovation Laboratories, Technische Universität Berlin 
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF) 

Curcuma 2014

Curcuma has been chosen as one of the IT projects in 2014 to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

Curcuma (Cloud Computing Location Metadata) is a research project that aims at using location information and metadata structures within cloud computing environments to protect, enrich and structure files and limit access to information and cloud resources using dedicated containers.

 

The location information of mobile clients and server ecosystems come into operation when accessing files. The location information on a mobile client is dynamic. This dynamic location attribute is considered when granting access to cloud data. The cloud data is secured with attribute-based encryption (ABE) policies which include viable location information within the access rule. The notion of dynamic attributes enriches this field of research. But not only will the location of the accessing device come into play within the Curcuma scenarios, also the server location is considered when deciding where to store the data with regards to privacy and data protection concerns.

The cloud data itself will be enriched with semantic meta-information to bound the access information to personal user information and the content data itself. Access histories of highly sensitive data, such as personal health records (PHR), will be stored within the metadata structures of the container files. This should be seen as an optional feature which will be applied only to highly personal information.

A subproject of Curcuma is the Open Cloud Computing Map (OCCMap) which provides the basis for the (visual and non-visual) server location information of different cloud computing providers and interlinks to sources regarding data protection laws and other linked-data information. The data provided by the OCCMap will be offered in a structured semantic manner to be included in other open and linked data initiatives.

Contributions of Curcuma will be made in the fields of meta-data structures, semantic linked data, dynamic ABE security/access features, such as location-based access control (LBAC), as well as mobile cloud and mobile data scenarios.

Time Frame:03/ 2014 - 02/ 2016 
SNET Team:Felix Beierle, Sebastian Zickau 
Students:Iwailo Denisow 
Partners:Telekom Innovation Laboratories, Technische Universität Berlin 
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF) 

Street Smart Retail 2014

Street Smart Retail is the current high impact initiative of the Action Line Smart Spaces of the EIT Digital. The goal of this activity is to boost local businesses for instance by introducing ways to understand customer movement, intentions and their shopping profile and to offer more personalized services.

Street Smart Retail aims to provide a Digital Retail Suite that enables retailers to bridge the electronic and physical commerce. The Digital Retail Suite is a combination of a cloud computing service model and the provision of data analytics as a service. These technologies enhance the traditional customer relationship management tools for the retailers and provide enhanced means for smart retail in the 21st century.

Within the scope of this project the Service-centric Networking group at TU Berlin explores novel approaches to analyze and learn from spatio-temporal position data and use these insights to discover new means for providing location-based services.

Time Frame:10/ 2014 – 12/ 2015 
SNET Team:Bersant Deva, Dr. Sandro Rodriguez Garzon, Dr. Peter Ruppel 
Partners:Deutsche Telekom, German Research Center for Artificial Intelligence (DFKI), University of Helsinki 
Funding by:EIT Digital 

Context Data Cloud 2013

The Context Data Cloud has been chosen as one of the most innovative IT projects in 2013 to be funded within the Software Campus initiative.

Software Campus integrates leading research and practical experience in a new type of concept in order to create a new generation of top managers and entrepreneurs with an excellent IT background. (© Software Campus)

The Context Data Cloud is a service enabler platform (run by a mobile network operator) that interconnects context providers, consumers as well as context-aware service developers for providing semantically enriched context-aware services. It is based on Linked Data and enables developers of context-aware services to easily realize innovative applications by making use of a set of novel interfaces (provided by the network operator).

This platform mainly consists of four building blocks: The OpenMobileNetwork provides approximated and semantically enriched mobile network and WiFi access point topology data enabling the development of sophisticated context-aware services. Linked Crowdsourced Data, on the other hand, enriches static location entity (e.g., POIs or events) information by dynamic contextual parameters for realizing various location analytics scenarios. The Context Management is responsible for context search and enrichment utilizing the Linking Open Data Cloud, whereas the Context Consumer Interfaces provide developers the possibility to implement services on top of the platform.

Time Frame:03/ 2013 - 02/ 2015  
SNET Team:Abdulbaki Uzun  
Students:Thilo Geismar, Berken Bayat, Carlos Mayer, Friedhelm Victor  
Partner:Telekom Innovation Laboratories  
Funding by:Software Campus, Federal Ministry of Education and Research (BMBF)  

FlashPoll 2013

FlashPoll is a project funded by the EIT Digital. The strategic Business Plan of EIT Digital is to become a leading force in European innovation through integrating and reorganizing the knowledge triangle of education, research, and business (ERB). The Business Plan 2013 of EIT Digital is composed of activities belonging to Action Lines integrating ERB, as well as activities developing and maintaining specific ERB catalysts and offering their services to action lines.

Within the scope of the action line Digital Cities of the Future, the objective of FlashPoll is the development of a location-based and context-aware polling app that provides a direct communication channel between citizens and administrators in order to enable citizen participation in urban planning decisions.

Our group focuses on the implementation of a Positioning Enabler and a Context Data Crowdsourcing Platform. The Positioning Enabler provides an efficient background tracking functionality, therefore enables polling the "right/relevant" citizens based on their location with the respect to a poll. Moreover, the Positioning Enabler acts as a mediator bringing Municipalities and citizens together. The Context Data Crowdsourcing Platform, on the other hand, is used to collect and analyze user context. This context data will be semantically interconnected to open datasets, such as the OpenMobileNetwork or Berlin Open Data, in order to exploit the power and richness of open datasets for innovative, sophisticated, and directed flash polls.

Time Frame:01/2013 - 12/2015  
SNET Team:Dr. Sandro Rodriguez GarzonBersant Deva 
Students:Gabriel PilzBenoit Hanotte 
Partner:Technische Universität Berlin, Telekom Innovation Laboratories, KTH Royal Institute of TechnologyStockholm University, Alfstore, Missions Publiques 
Funding by:EIT Digital  
Website:www.flashpoll.eu  

Communicate Green 2011

Communicate Green is a project started under the IT2Green initiative.

In order to fulfill today’s high demands on mobile network usage, mobile network providers in Germany have around 123.000 base stations working 24 hours a day, 7 days a week with a total power consumption of approx. 1455 GWh per year. The permanent availabilty of those network components causes a significant energy consumption. Through an adaptive, context-aware and technology-comprehensive power management in mobile networks, a considerable amount of energy can be saved by maintaining the high quality of experience at the same time. There are a lot of contextual information present in mobile network components and end devices, which can help to calculate decisions for a dynamic de- and reactivating of network components (e.g., base stations).

The main focus of our work in this project is the development of a context entity that aggregates and processes contextual information in order to calculate decisions for network optimizations. By applying various context acquisition approaches, both the network as well as the user view will be included into the power management process.

Within the project, SNET and T-Labs developed a demonstrator, which visualizes the effects of power management algorithms under realistic conditions.

For further details, please visit the ComGreen Showtable page.

The OpenMobileNetwork for ComGreen Demo visualizes how interlinked semantic data can be useful in order to establish a power management in mobile networks. For this purpose, we extended the OpenMobileNetwork by several new features, such as dynamically calculated coverage areas, neighbor relations or traffic generated by smartphones at runtime. Furthermore, we enhanced our visualization by a ComGreen button that runs the following SPARQL query in order to determine the cells that are candidates for network optimizations in the area of Schöneberg: "Request all T-Mobile base stations that cover Telekom in Schöneberg with traffic below 4 Mbits and neighbors covering the same area by 70%".

Please feel free to have a look at the special OMN ComGreen Visualization. You can see live traffic produced by your smartphone, if you run OpenMobileNetwork for Android (OMNApp), which is available for download at Google Play Store.

In order to implement energy-efficient reconfiguration mechanisms in mobile telephony networks as proposed by the project Communicate Green, it is essential to anticipate traffic hotspots, so that a network's configuration can be adjusted in time accordingly. Hence, predicting the movement of mobile users on a cellular level of the mobile network is a crucial task.

We have implemented a Movement Prediction System that allows to determine the future movement of a user on a cellular level using precomputed movement patterns. The performance of the algorithm is evaluated based on real and live user movement data from the OpenMobileNetwork. Furthermore, the predicted user movements are visualized in the OpenMobileNetwork Predictions Visualizer. Please do not hesitate to have a look at the demonstrator!

SNET is part of the ComGreen Video that was produced by the Federal Ministry for Economic Affairs and Energy (BMWi) in order to introduce the idea of ComGreen! You can see the ComGreen Video at Vimeo!

Time Frame:01/2011 - 04/2014  
SNET Team:Dr. Abdulbaki UzunDr. Sebastian Göndör 
Students:Pascal Schwenke  
Partner:Telekom Innovation Laboratories, Ericsson GmbH, Fraunhofer Gesellschaft zur Förderung der angewandten Forschung e.V., Universität Paderborn  
Funding by:Bundesministerium für Wirtschaft und Energie  
Website:www.communicate-green.de  

Open Mobile Network 2011

The OpenMobileNetwork is an open platform that provides approximated and semantically enriched mobile network and WiFi access point topology data published as Linked Data in RDF format.

Since 2012, users from all over the world contribute to this dataset by running one of our dedicated Measurement Clients on their mobile devices. This crowdsourced data is used to approximate mobile network as well as WiFi access point topologies worldwide. The processed data is structured according to a comprehensive Ontology in order to provide information about base station and WiFi access point locations, their coverage areas, neighboring cell relations and dynamic data, such as traffic, service usage, and number of users. It is made available to the public through a SPARQL endpoint and a meta description is provided using the Vocabulary of Interlinked Datasets (VoID).

In compliance with the principles of Linked Data, many interlinks to other Linking Open Data (LOD) Cloud datasets enable various applications ranging from Semantic Location-based Services to a sophisticated Power Management in Mobile Networks.

OpenMobileNetwork for Android (OMNApp) is a background service that actively collects mobile network data in a crowdsourcing approach in order to estimate and derive base station and WiFi hotspot positions. It further acquires live measurement data, such as the total traffic produced on smartphones or service usage information, in order to enable the modeling and visualization of the current/historic state of the network.

Jewel Chaser is a location-based game in which you collect virtual jewels by moving to locations in the real world. While you play the game, mobile network and wireless access point data is collected for the OpenMobileNetwork in order to enrich the existing database.

In order to play it, just click on Start Collecting, check the map, and go towards one of the symbols shown on the map. As soon as you are close enough to a jewel, it will be collected automatically. However, you need to have the map open in order to collect the jewel. This means you can check where the jewels are, close the app, and open it later again as soon as you are close to one of the jewels. In order to collect jewels, your GPS has to be turned on.

At the moment, this dataset comprises data covering 59 countries all over the world. During the data collection process, 293,255 measurements for Cell-IDs and 1,781,324 WiFi access point scans were considered out of which we have calculated 13,966 unique cells and 161,614 WiFi access points. In Germany, there are 3,335 cells operated by Telekom, whereas Vodafone deployed 1,139 base stations. 1,979 cells are from the provider E-PlusO2 has 1,376 cells. The cell coverage areas and neighbor relations have been calculated out of the raw measurements and are visualized on the OpenMobileNetwork Map. Currently, this dataset has 12,863,438 triples created for 13,966 cells with 1,353,916 links to several datasets of the LOD Cloud, such as LinkedGeoData or DBpedia.

Time Frame:12/2011 - Present  
SNET Team:Abdulbaki Uzun  
Students:Thilo Geismar  
Website:www.openmobilenetwork.org