Proceedings of the International Conference on COMmunication Systems and NETworkS (COMSNETS)
Department of Computer Science
We study the security challenges that arise in Opportunistic people-centric sensing, a new sensing paradigm leveraging humans as part of the sensing infrastructure. Most prior sensor-network research has focused on collecting and processing environmental data using a static topology and an application-aware infrastructure, whereas opportunistic sensing involves collecting, storing, processing and fusing large volumes of data related to everyday human activities. This highly dynamic and mobile setting, where humans are the central focus, presents new challenges for information security, because data originates from sensors carried by people— not tiny sensors thrown in the forest or attached to animals. In this paper we aim to instigate discussion of this critical issue, because opportunistic people-centric sensing will never succeed without adequate provisions for security and privacy. To that end, we outline several important challenges and suggest general solutions that hold promise in this new sensing paradigm.
Apu Kapadia, David Kotz, and Nikos Triandopoulos. Opportunistic Sensing: Security Challenges for the New Paradigm. In Proceedings of the International Conference on COMmunication Systems and NETworkS (COMSNETS), January 2009. DOI 10.1109/COMSNETS.2009.4808850.
Dartmouth Digital Commons Citation
Kapadia, Apu; Kotz, David; and Triandopoulos, Nikos, "Opportunistic Sensing: Security Challenges for the New Paradigm" (2009). Dartmouth Scholarship. 3096.