Abstract
Multi-hop wireless networks have shown significant benefits in wireless communication, but they also face the internal multi-layer security threats. Since most security mechanisms require the cooperation of nodes, characterizing and learning the neighboring nodes’ actions and the evolution of these actions over time is vital. This paper proposes a new dynamic and multi-layer reputation computation model named CRM that couples conventional layered reputation computation model with multi-layer design and multi-level security technology to identify malicious nodes and preserve security against internal multi-layer threats. Simulation results and performance analyses demonstrate that CRM can provide rapid and accurate malicious node identification and management, and implement the security preserving against the internal multi-layer and bad mouthing attacks more effectively.
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Hu, J., Lin, H., Xu, L. (2013). A Dynamic and Multi-layer Reputation Computation Model for Multi-hop Wireless Networks. In: Lopez, J., Huang, X., Sandhu, R. (eds) Network and System Security. NSS 2013. Lecture Notes in Computer Science, vol 7873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38631-2_56
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DOI: https://doi.org/10.1007/978-3-642-38631-2_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38630-5
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