2013 IEEE 33rd International Conference on Distributed Computing Systems (2007)
June 25, 2007 to June 27, 2007
Wade Trappe , Rutgers University
Wenyuan Xu , Rutgers University
Yanyong Zhang , Rutgers University
Pandurang Kamat , Rutgers University
Although the content of sensor messages describing "events of interest" may be encrypted to provide confidentiality, the context surrounding these events may also be sensitive and therefore should be protected from eavesdroppers. An adversary armed with knowledge of the network deployment, routing algorithms, and the base-station (data sink) location can infer the temporal patterns of interesting events by merely monitoring the arrival of packets at the sink, thereby allowing the adversary to remotely track the spatio-temporal evolution of a sensed event. In this paper, we introduce the problem of temporal privacy for delaytolerant sensor networks and propose adaptive buffering at intermediate nodes on the source-sink routing path to obfuscate temporal information from an adversary. We first present the effect of buffering on temporal privacy using an information-theoretic formulation and then examine the effect that delaying packets has on buffer occupancy. We evaluate our privacy enhancement strategies using simulations, where privacy is quantified in terms of the adversary?s estimation error.
Wade Trappe, Wenyuan Xu, Yanyong Zhang, Pandurang Kamat, "Temporal Privacy in Wireless Sensor Networks", 2013 IEEE 33rd International Conference on Distributed Computing Systems, vol. 00, no. , pp. 23, 2007, doi:10.1109/ICDCS.2007.146