• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (01): 78-83.

• 论文 • Previous Articles     Next Articles

Study on the malicious nodes detection algorithm
based on feature nodes analysis  

XIE Jinyang1,LI Ping1,XIE Guifang2   

  1. (1.School of Computer & Communication Engineering,
    Changsha University of Science & Technology,Changsha 410004;
    2.Department of Computer Science,Xiangnan University,Chenzhou 423000,China)
  • Received:2013-08-02 Revised:2013-09-13 Online:2015-01-25 Published:2015-01-25

Abstract:

Wireless Sensor Network (WSN) is usually deployed in complex environment, and an attacker can easily inject false data by capturing nodes, thus causing serious consequences. A malicious nodes detection algorithm based on feature nodes analysis (DAFNA) is proposed. Firstly, the energy values of the event sources are estimated, and nodes healthy characteristics are maintained in this process. Secondly, we establish coordinates according to the feature nodes, conduct a variance analysis of the calculated and perceived distances between the nodes to be detected and the event source, thus the malicious nodes are identified. Simulation result verifies the effectiveness of the proposed algorithm, and compared with Hur algorithm it has a better accommodation of malicious nodes while requiring less prior knowledge.

Key words: wireless sensor network(WSN);energyaware;false data;feature nodes;malicious nodes