Poster Abstract: Reliable People-Centric Sensing with Unreliable Voluntary Carriers


Cory Cornelius, Apu Kapadia, David Kotz, Dan Peebles, Minho Shin, and Patrick Tsang. Poster Abstract: Reliable People-Centric Sensing with Unreliable Voluntary Carriers. Proceedings of the International Conference on Mobile Systems, Applications, and Services (MobiSys), 1 page. ACM, June 2008. ©Copyright the authors.


As sensor technology becomes increasingly easy to integrate into personal devices such as mobile phones, clothing, and athletic equipment, there will be new applications involving opportunistic, people-centric sensing. These applications, which gather information about human activities and personal social context, raise many security and privacy challenges. In particular, data integrity is important for many applications, whether using traffic data for city planning or medical data for diagnosis. Although our AnonySense system (presented at MobiSys) addresses privacy in people-centric sensing, protecting data integrity in people-centric sensing still remains a challenge. Some mechanisms to protect privacy provide anonymity, and thus provide limited means for accountability; data integrity becomes even more difficult to protect.

We propose SenseRight, the first architecture for high-integrity people-centric sensing. The SenseRight approach, which extends and enhances AnonySense, assures integrity of both the sensor data (through use of tamper-resistant sensor devices) and the sensor context (through a time-constrained protocol), maintaining anonymity if desired.

Citable with [BibTeX]

Projects: [metrosense]

Keywords: [privacy] [security] [sensors] [wearable]

Available from the author: [bib] [pdf]
This pdf is the only definitive version available.

[Kotz research]