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计算机工程 ›› 2009, Vol. 35 ›› Issue (11): 1-3. doi: 10.3969/j.issn.1000-3428.2009.11.001

• 博士论文 •    下一篇

基于汇聚度的传感器网络Sinkhole攻击检测

谢 磊1,2,徐勇军2,祝跃飞1,潘 勇3   

  1. (1. 解放军信息工程大学信息工程学院,郑州 450002;2. 中国科学院计算技术研究所,北京 100080; 3. 武汉理工大学计算机科学与技术学院,武汉 430070)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-06-05 发布日期:2009-06-05

Sinkhole Attack Detection in Sensor Networks Based on Convergence Degree

XIE Lei1,2, XU Yong-jun2, ZHU Yue-fei1, PAN Yong3   

  1. (1. Information Engineering Institute, PLA Information Engineering University, Zhengzhou 450002; 2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080; 3. School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-06-05 Published:2009-06-05

摘要: 传感器网络以数据为中心的特殊流量汇聚模式尤其易受Sinkhole攻击。通过分析Sinkhole攻击点邻近区域的路由特点,提出一种新颖的基于汇聚度检测Sinkhole攻击的策略。该策略无需运行密码算法,无需额外通信开销,适用于不同网络部署密度、信道质量及攻击强度下的攻击检测。

关键词: 传感器网络, Sinkhole攻击, 汇聚度

Abstract: Sensor networks which are data-centric networks with special flow convergence pattern are highly vulnerable to the Sinkhole attack. On the analysis of routing feature in the neighboring region of Sinkhole attack point, a novel detection strategy of Sinkhole attack based on convergence degree is proposed. Without any cryptographic algorithms and additional communication cost, the strategy is suitable for various network deployment density, different channel condition and attack power.

Key words: sensor networks, Sinkhole attack, convergence degree

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