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基于汇聚度的传感器网络Sinkhole攻击检测
引用本文:谢磊,徐勇军,祝跃飞,藩勇.基于汇聚度的传感器网络Sinkhole攻击检测[J].计算机工程,2009,35(11):1-3.
作者姓名:谢磊  徐勇军  祝跃飞  藩勇
作者单位:1. 解放军信息工程大学信息工程学院,郑州,450002;中国科学院计算技术研究所,北京,100080
2. 中国科学院计算技术研究所,北京,100080
3. 解放军信息工程大学信息工程学院,郑州,450002
4. 武汉理工大学计算机科学与技术学院,武汉,430070
基金项目:国家高技术研究发展计划(863计划),国家自然科学基金 
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
修稿时间: 

Sinkhole Attack Detection in Sensor Networks Based on Convergence Degree
XIE Lei,XU Yong-jun,ZHU Yue-fei,PAN Yong.Sinkhole Attack Detection in Sensor Networks Based on Convergence Degree[J].Computer Engineering,2009,35(11):1-3.
Authors:XIE Lei  XU Yong-jun  ZHU Yue-fei  PAN Yong
Affiliation: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
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.
Keywords:sensor networks  Sinkhole attack  convergence degree  
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