Towards privacy preservation Against traffic analysis in Wireless networks
Shivakumar Nagarajan, Hod-It Dept · 2012
Due to the open wireless medium, Multi-hop Wireless Networks MWNs are susceptible to various attacks,such as traffic analysis and flow tracing can be launched by the malicious adversaries. Different from previous schemes, we investigate the privacy issue from a brand new perspective using network coding to achieve privacy preservation, since the coding/mixing operation is encouraged at intermediate nodes network coding has the potential to thwart these attacks. However, the simple deployment of network coding cannot achieve the goal once enough packets are collected by the adversaries. In this paper, we propose a novel network coding based privacy-preserving scheme against traffic analysis in multihop wireless networks. With symmetric key encryption ,Advanced encryption standard (AES) on Global Encoding Vectors (GEVs), the proposed scheme offers two significant privacypreserving features, packet flow untraceability and message content confidentiality, for efficiently thwarting the traffic analysis attacks. By inverting the GEVs, the proposed scheme keeps the random coding feature, and each sink can recover the source packets with a very high probability .Theoretical analysis demonstrate the validity and efficiency of the proposed scheme. Index Terms—Network coding, Advanced encryption standard, Global Encoding Vectors, traffic analysis