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  • 标题:Protecting Location Privacy in Large Scale Sensor Network Against a Global Eavesdroppe
  • 本地全文:下载
  • 作者:Suresh Babu ; M. Mohana Venkateswara Rao
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2013
  • 卷号:4
  • 期号:1
  • 页码:173-177
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Wireless Sensor Networks (WSN) have been widely used in many areas for unattended event monitoring. Mainly due to lack of a protected physical boundary, wireless communications are vulnerable to unauthorized detection, interception and even node capture. Privacy is becoming one of the major issues that jeopardize the successful deployment and survivability of wireless sensor networks. While confidentiality of the message can be ensured through content encryption, it is much more difficult to adequately address the source-location privacy. For WSN, source-location privacy service is further complicated by the fact that the sensor nodes consist of low-cost and lowpower radio devices, computationally intensive cryptographic algorithms (such as public-key cryptosystems) and large scale broadcasting-based protocols are not suitable for WSN. We first argue that a strong adversary model, the global eavesdropper, is often realistic in practice and can defeat existing techniques. We then formalize the location privacy issues under this strong adversary model and show how much communication overhead is needed for achieving a given level of privacy. We also propose two techniques that prevent the leakage of location information: periodic collection and source simulation. Periodic collection provides a high level of location privacy, while source simulation provides trade-offs between privacy, communication cost, andlatency. Through analysis and simulation, we demonstrate that the proposed techniques are efficient and effective in protecting location information from the attacker.
  • 关键词:Sensor Networks;Location Monitoring
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