Obfuscating temporal context of sensor data by coalescing at source

Authors:
Abhishek RayChaudhuri;Ujwal K. Chinthala;Amiya Bhattacharya
Affiliations:
New Mexico State University, Las Cruces, NM;New Mexico State University, Las Cruces, NM;New Mexico State University, Las Cruces, NM
Venue:
ACM SIGMOBILE Mobile Computing and Communications Review
Year:
2007

Citing 2
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Elements of information theory

Elements of information theory
Enhancing Source-Location Privacy in Sensor Network Routing

ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems

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Abstract

Contextual privacy threat arises from divulging the location and time of the triggering events to adversaries. Since, the context of the triggering events serve as useful information to the eavesdropper, data encryption alone renders inadequate for protecting total privacy of a sensing task. Obfuscation of the contextual information is a natural solution to the contextual privacy problem. Since both location and time of a sensed event constitute its context, obfuscation can be performed both spatially and temporally. In [1], the authors employ spatial obfuscation techniques (controlled flooding, probabilistic flooding and fake messaging) by focusing mainly on the location component of the contextual information. Nevertheless, increased message transmissions place an additional burden on the power constrained sensor nodes.