文章基本信息

标题：Privacy Preservation Against Global Eavesdropper in Sensor Networks Using Network Coding
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作者：Pavan Jahagirdar ; Mr. Manoj Challa ; Mr. K Sundeep Kumar 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：Many security protocols have been developed to provide privacy in sensor networks. Security risk in sensor networks is one of the significant issues to be dealt with. The existing techniques guard the data only against the local eavesdropper who is having limited knowledge of the network topology. A stronger adversary such as global eavesdropper can still analyze the pattern of traffic and launch advanced attacks such as flow tracing and traffic analysis. Due to these advanced attacks the privacy of the users is compromised. This paper proposes a new network coding mechanism to protect the privacy in sensor network against the global eavesdropper. We use the source imitation approach to calculate the candidate traces which can transmit data at the same time and same rate. The proposed scheme also uses the optimal path among the candidate traces for the faster transfer of data. Through the simulation and analysis, we exhibit that the proposed scheme is both energy efficient and successful in providing privacy in sensor networks.
关键词：Sensor network; network coding; source imitation; eavesdropper; Homomorphic Encryption