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What and Who
Title:Indoor Data Management in Anyplace
Speaker:Demetris Zeinalipour
coming from:University of Cyprus and Max Planck Institute for Informatics
Speakers Bio:Demetris Zeinalipour (PhD, University of California, Riverside, 2005) is an Assistant Professor of Computer Science at the University of Cyprus, where he founded and directs the Data Management Systems Laboratory (DMSL). Before his current appointment, he served the University of Cyprus and the Open University of Cyprus as a Lecturer of Computer Science. He has also been a short-term Visiting Researcher at the Network Intelligence Lab of Akamai Technologies, Cambridge, MA, USA (2004), a Marie-Curie Fellow at the University of Athens, Greece (2007) and a Visiting Researcher at the University of Pittsburgh, PA, USA (2015). During 2016-2017, he is a Humboldt Fellow at the Max Planck Institute for Informatics, Saarbr├╝cken, Germany. His research interests include Data Management in Computer Systems and Networks, in particular Mobile and Sensor Data Management; Big Data Management in Parallel and Distributed Architectures; Spatio-Temporal Data Management; Network and Web 2.0 Data Management; Crowd and Indoor Data Management as well as Data Privacy Management. He is an ACM Distinguished Speaker (2017-2020), a Senior Member of ACM, a Senior Member of IEEE, and Member of USENIX. For more information, please visit:
Event Type:Colloquium Lecture
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Tuesday, 11 July 2017
Duration:60 Minutes
Building:E1 4
The pervasiveness of smartphones is leading to the uptake of a new class of Internet-based Indoor Navigation (IIN) services, which might soon diminish the need of Satellite-based localization technologies in urban environments. These services rely on geo-location databases that store spatial models along with wireless, light and magnetic signals used to localize users and provide better power efficiency and wider coverage than predominant approaches. In this talk I will overview the research behind the building blocks of the Anyplace IIN, an open, modular, extensible and scalable navigation architecture that exploits crowdsourced Wi-Fi data to develop a novel navigation service that won several international research awards for its utility and accuracy (i.e., less than 2 meters). Our MIT-licensed open-source software stack has to this date been used by hundreds of researchers and practitioners around the globe, with the public Anyplace service reaching over 100,000 real user interactions. In the second part of this talk, I will focus on an algorithm we developed for protecting users from location tracking by the IIN service, without hindering the provisioning of fine-grained location updates on a continuous basis. Our algorithm exploits a k-Anonymity Bloom filter and a generator of camouflaged localization requests, both of which are shown to be resilient to a variety of privacy attacks. My talk will conclude with a summary of other recent research work.
Name(s):Petra Schaaf
EMail:--email address not disclosed on the web
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  • Petra Schaaf, 06/22/2017 10:55 AM -- Created document.