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Blockchain Technology

Lupe

The blossom of Blockchains and Distributed Ledger Technoligies (DLT) in general have generated novel opportunities in various technological and economic fields. New paradigms emerge from their unique characteristics such as distributed consensus, byzantine fault tolerance and immutability. Hereby, DLTs facilitate eliminating trusted intermediaries by distributing trust among participants. As a result, not only digital (crypto-) currencies have emerged, but more complex use cases such as identity, asset and supply chain management have gained attention. More...

Cloud Computing

Lupe

The Cloud Computing paradigm is rapidly transforming the development, deployment, and management of Information Systems on a basic level. Cloud technologies, such as virtualization, application containers, multi-cloud federation and the Intercloud are enabling elasticity, cost-efficiency and scalability for private deployments as well as public offerings. More...

Data Science

Lupe

Data in today’s business landscape are created and stored at exponentially large scales. Therefore, the need to improve business operations through data-driven decisions has emerged as an important objective for many growing companies. The field of data science addresses those needs by combining computer science, engineering, mathematics, statistics, and predictive modeling to generate analytical insights about data from a variety of sources.  More...

Social Networking

Lupe

Online Social Networks (OSNs) have become an important part of our everyday online lives. We communicate, share content, and organize meetings and events using OSN platforms. However, even though there is a strong trend towards OSN services to become the main communication medium, most OSN platforms are still proprietary, closed services that keep users from connecting directly and seamlessly to the services of other OSN platforms. More...

Ubiquitous Computing

Lupe

The Ubiquitous Computing paradigm describes a world in which electronic devices are not only unobtrusively embedded within the human’s environment but also in which electronic devices are interacting with each other to support humans in their daily life. Hence, Ubiquitous Computing deals with a wide range of research topics related to Pervasive Computing, Wearable Computing, Ambient Intelligence, Intelligent Environments, Automotive Computing and Smart Homes. More...

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Running Projects

DYNAMIC

Lupe

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

eBiz

Lupe

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. More...

IC4F

Lupe

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. More...

PARADISE

Lupe

The privacy project PARADISE (Privacy-enhancing And Reliable Anti-Doping Integrated Service Environment) 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, associated), we are improving the privacy aspects of national athletes by introducing a privacy-enhancing anti-doping environment. More...

SPECIAL

Lupe

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. More...

Publications

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Bareth, U. and Küpper, A. and Freese, B. (2011). Geofencing and Background Tracking - The Next Features in LBS. Proceedings of the 41th Annual Conference of the Gesellschaft für Informatik e.V. (INFORMATIK 2011). Köllen Druck + Verlag GmbH.


Bareth, U. and Küpper, A. and Ruppel, P. (2010). geoXmart - a Marketplace for Geofence-Based Mobile Services. Proceedings of the IEEE 34th Annual Computer Software and Applications Conference (COMPSAC 2010). IEEE, 101-106.

Link to publication

Bareth, U. (2012). Privacy-aware and Energy-efficient Geofencing through Reverse Cellular Positioning. Proceedings of the 8th Intl. Conference on Wireless Communications and Mobile Computing Conference (IWCMC 2012). IEEE, 153-158.

Link to publication

Bareth, U. (2010). Algorithmic Optimizations for Energy-efficient Monitoring of Spatial Objects on Smartphones. Proceedings of the 40th Annual Conference of the Gesellschaft für Informatik e.V. (INFORMATIK 2010). Köllen Druck + Verlag GmbH, 577-582.


Bareth, U. (2012). Simulating Power Consumption of Location Tracking Algorithms to Improve Energy-efficiency of Smartphones. Proceedings of the 36th Intl. IEEE Computer Software and Applications Conference (COMPSAC 2012). IEEE, 613-622.

Link to publication

Bareth, U. and Küpper, A. (2010). Efficient Distribution and Topological Evaluation of Spatial Objects for proactive Location-based Services. 7. GI/ITG KuVS Fachgespräch "Ortsbezogene Anwendungen und Dienste". Logos Verlag Berlin GmbH, 47-53.


Bareth, U. and Küpper, A. (2011). Energy-Efficient Position Tracking in Proactive Location-based Services for Smartphone Environments. Proceedings of the IEEE 35th Annual Computer Software and Applications Conference (COMPSAC 2011). IEEE, 516-521.

Link to publication

Bayer, N. and Gomez. K and Sengul, C. and von Hugo, D. and Göndör, S. and Uzun, A. (2015). Load-Adaptive Networking for Energy-Efficient Wireless Access. Computer Communications. Elsevier.

Link to publication

Bayer, N. and Sivchenko, D. and Einsiedler, H.-J. and Roos, A. and Uzun, A. and Göndör, S. and Küpper, A. (2011). Energy Optimisation in Heterogeneous Multi-RAT Networks. Proceedings of the 15th International Conference on Intelligence in Next Generation Networks. IEEE, 139-144.

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Beierle, F. and Tran, V.T. and Allemand, M. and Neff, P. and Schlee, W. and Probst, T. and Pryss, R. and Zimmermann, J. (2018). Context Data Categories and Privacy Model for Mobile Data Collection Apps. Procedia Computer Science, 18-25.

Link to publication

Beierle, F. (2018). Do You Like What I Like? Similarity Estimation in Proximity-based Mobile Social Networks. Proceedings 2018 IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom). IEEE, 1040-1047.

Link to publication

Beierle, F. and Tan, J. and Grunert, K. (2016). Analyzing Social Relations for Recommending Academic Conferences. Proceedings of the 8th International Workshop on Hot Topics in Planet-scale Mobile Computing and Online Social Networking. ACM, 37-42.

Link to publication

Beierle, F. and Grunert, K. and Göndör, S. and Küpper, A. (2016). Privacy-aware Social Music Playlist Generation. Proceedings of the IEEE International Conference on Communications (ICC 2016). IEEE, 5650-5656.

Link to publication

Beierle, F. and Göndör, S. and Küpper, A. (2015). Towards a Three-tiered Social Graph in Decentralized Online Social Networks. Proceedings of the 7th International Workshop on Hot Topics in Planet-scale Mobile Computing and Online Social Networking. ACM, 1–6.

Link to publication

Beierle, F. and Engel, F. and Hemmje, M. (2014). Finding the Right Experts and Learning to Rank Them by Relevance: Evaluation of a Semi-Automatically Generated Ranking Function. Proceedings of the 16th LWA Workshops: KDML, IR and FGWM. CEUR-WS, 227-234.

Link to publication

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