PrivaSense: providing privacy protection for sensor networks

Authors:
Yi Ouyang;Zhengyi Le;James Ford;Fillia Makedon
Affiliations:
Dartmouth College, Hanover, NH;Dartmouth College, Hanover, NH;University of Texas at Arlington, Arlington, TX;University of Texas at Arlington, Arlington, TX
Venue:
Proceedings of the 5th international conference on Embedded networked sensor systems
Year:
2007

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Abstract

Sensor networks are used in a variety of applications such as battlefield reconnaissance, environmental monitoring, and traffic monitoring. Security and privacy become important concerns when people are participants in sensor network applications [1]. In this research, we focus on providing a framework in which the privacy of people participating in sensor networks applications is protected.