A hierarchical anonymous communication protocol for sensor networks

Authors:
Arjan Durresi;Vamsi Paruchuri;Mimoza Durresi;Leonard Barolli
Affiliations:
Department of Computer Science, Louisiana State University, Baton Rouge, LA;Department of Computer Science, Louisiana State University, Baton Rouge, LA;Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan;Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan
Venue:
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Year:
2005

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Abstract

Ensuring anonymity in sensor networks is a major security goal. Using traffic analysis, the attacker can compromise the network functionality by correlating data flow patterns to event locations/active areas. In this paper we present a novel hierarchical anonymous communication protocol that hides the location of nodes and obscure the correlation between event zones and data flow from snooping adversaries. We quantify the anonymity strength of our protocol by introducing a new anonymity metric: Degree of Exposure Index. Our protocol is designed to offer flexible tradeoffs between degree of anonymity and communication-delay overhead.