Title :
GP^2S: Generic Privacy-Preservation Solutions for Approximate Aggregation of Sensor Data (concise contribution)
Author :
Zhang, Wensheng ; Wang, Chuang ; Feng, Taiming
Author_Institution :
Dept. of Comput. Sci., Iowa State Univ., Ames, IA
Abstract :
Protecting privacy in sensor networks poses new challenges because of the potential incompatibilities between new privacy-preserving mechanisms and mechanisms already implemented in sensor networks (such as in-network data aggregation). To address this problem, we propose in this paper a set of new privacy-preservation data aggregation schemes. Different from past research, our solutions have the following features: supporting data aggregation for a variety of queries; providing privacy protection for both individual data and aggregate data; being resilient to any number of node collusion; being highly efficient.
Keywords :
data privacy; telecommunication security; wireless sensor networks; approximate sensor data aggregation; generic privacy-preservation solutions; privacy-preservation data aggregation schemes; wireless sensor networks; Aggregates; Bandwidth; Collaboration; Computer science; Cryptography; Data privacy; Histograms; Intelligent sensors; Pervasive computing; Protection;
Conference_Titel :
Pervasive Computing and Communications, 2008. PerCom 2008. Sixth Annual IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3113-7
DOI :
10.1109/PERCOM.2008.60