Tools of the Trade: Enhancing Privacy in Participatory SensingSpeaker: Tassos Dimitriou – Athens, Greece
Topic(s): Computational Theory, Algorithms and Mathematics
The increasing availability of sensors in today's smartphones and other everyday devices, carried around by millions of people, has opened up the possibility of new ways of information gathering. Researchers envision the creation of services where people interact with their surrounding environment and provide their collected data streams to third parties interested in exploring various aspects of the world, ranging from health to culture, in a more systematic way. This trend is often named mobile crowd sensing or participatory sensing.
In this presentation we define participatory sensing and review some of the privacy-preserving mechanisms applied in participatory sensing applications. We start with a definition of privacy for participatory sensing and the threats associated with uncontrolled disclosure of sensitive information. We then consider typical countermeasures used by the various architectural elements of sensing applications. Finally, we highlight and discuss some interesting research directions that must be addressed to enhance user privacy and encourage user participation.
About this LectureNumber of Slides: 40
Duration: 60 minutes
Languages Available: English, Greek
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