Systems Engineering and Electronics

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Collusion behavior recognizing data forwarding for intermittently connected wireless network

YANG Jing1,2, LI Wuyou1,2, YAN Junjie1,2, HUA Lei1,2   

  1. 1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications,Chongqing 400065, China;
    2. Key Laboratory of Optical Communication and Network, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Online:2017-10-25 Published:2010-01-03

Abstract:

For existing malicious node detection proposals failed to resist the malicious collusion node, a collusion behavior recognizing(CBR) data forwarding for intermittently connected wireless network is proposed which effectively identifies the malicious nodes collusion by nodes’ behavior analysis based on the gained historical status information of nodes. Furthermore, creditworthiness, cooperativeness and connectedness are selected as major parameters, after excluding interference with malicious nodes. Results show that CBR can effectively recognize collusion behavior, as well as robustness against collusion attack, and the proposed scheme may achieve efficient and robust data transmission, even with collusion attack.

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