ANODR: anonymous on demand routing with untraceable routes for mobile ad-hoc networks
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
New Distributed Algorithm for Connected Dominating Set in Wireless Ad Hoc Networks
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 9 - Volume 9
Towards event source unobservability with minimum network traffic in sensor networks
WiSec '08 Proceedings of the first ACM conference on Wireless network security
Improving wireless privacy with an identifier-free link layer protocol
Proceedings of the 6th international conference on Mobile systems, applications, and services
Decorrelating wireless sensor network traffic to inhibit traffic analysis attacks
Pervasive and Mobile Computing
Short paper: reactive jamming in wireless networks: how realistic is the threat?
Proceedings of the fourth ACM conference on Wireless network security
Packet-Hiding Methods for Preventing Selective Jamming Attacks
IEEE Transactions on Dependable and Secure Computing
Hiding contextual information in WSNs
WOWMOM '12 Proceedings of the 2012 IEEE Thirteenth International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)
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We address the problem of preserving contextual information privacy in wireless sensor networks (WSNs). We consider an adversarial network of colluding eavesdroppers that are placed at unknown locations. Eavesdroppers use communication attributes of interest such as packet sizes, inter-packet timings, and unencrypted headers to infer contextual information, including the time and location of events reported by sensors, the sink's position, and the event type. We propose a traffic normalization technique that employs a minimum backbone set of sensors to decorrelate the observable traffic patterns from the real ones. Compared to previous works, our method significantly reduces the communication overhead for normalizing traffic patterns.