International Journal of Networking and Computing
Online ISSN : 2185-2847
Print ISSN : 2185-2839
ISSN-L : 2185-2839
Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2016
Strong Security Approach with Compromised Nodes Detection in Cognitive Radio Sensor Networks
Liang HongWei ChenSachin ShettyDan LoReginald Cooper
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2017 Volume 7 Issue 1 Pages 50-68

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Abstract

Cooperative MIMO communication is a promising technology which enables realistic solution for improving communication performance with MIMO technique in wireless networks that are composed of size and cost constrained devices. However, the security problems inherent to cooperative communication also arise. Cryptography can ensure the confidentiality in the communication and routing between authorized participants, but it usually cannot prevent the attacks from compromised nodes which may corrupt communications by sending garbled signals. In this paper, we propose a cross-layered approach to enhance the security in query-based cooperative MIMO sensor networks. The approach combines efficient cryptographic technique implemented in upper layer with a novel information theory based compromised nodes detection algorithm in physical layer. In the detection algorithm, a cluster of K cooperative nodes are used to identify up to K - 1 active compromised nodes. When the compromised nodes are detected, the key revocation is performed to isolate the compromised nodes and reconfigure the cooperative MIMO sensor network. During this process, beamforming is used to avoid the information leaking. The proposed security scheme can be easily modified and applied to cognitive radio networks. In such cognitive radio network, if we assume that in cooperative transmission the unlicensed users use one licensed user's frequency, a cluster of K cooperative nodes can identify up to K - 2 active compromised nodes. Simulation results show that the proposed algorithm for compromised nodes detection is effective and efficient, and the accuracy of received information is significantly improved.

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© 2017 International Journal of Networking and Computing
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