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WSN异步休眠模式下节点捕获早期检测方法
引用本文:张志华,罗守山,朱洪亮,辛阳.WSN异步休眠模式下节点捕获早期检测方法[J].北京邮电大学学报,2018,41(3):32-38.
作者姓名:张志华  罗守山  朱洪亮  辛阳
作者单位:1. 北京邮电大学 网络空间安全学院, 北京 100876;
2. 北京邮电大学 灾备技术国家工程实验室, 北京 100876;
3. 北京安码科技有限公司 网络安全研究院, 北京 100082
基金项目:国家重点研发计划;国家高技术研究发展计划(863计划);国家自然科学基金;广东省应用型科技研发专项资金项目
摘    要:针对异步休眠模式的无线传感器网络(WSN),提出了一种节点捕获早期检测方法,在被捕获节点重新加入网络之前即被检出,实现对网络攻击的及早发现.该方法基于相邻节点间存活性监控,并通过节点声明消息统一调度广播机制,保证异步休眠节点间声明消息的接收,同时,在决策过程中采用本地协同决策方式以提高正确率.仿真结果表明,该方法在检测率、误报率和漏报率等有效性方面均优于其他现有典型方法.

关 键 词:无线传感器网络  物理捕获  节点妥协  异步休眠  早期检测  
收稿时间:2017-11-04

A Node Capture Early Detection Scheme for WSN in Asynchronous Sleep Mode
ZHANG Zhi-hua,LUO Shou-shan,ZHU Hong-liang,XIN Yang.A Node Capture Early Detection Scheme for WSN in Asynchronous Sleep Mode[J].Journal of Beijing University of Posts and Telecommunications,2018,41(3):32-38.
Authors:ZHANG Zhi-hua  LUO Shou-shan  ZHU Hong-liang  XIN Yang
Affiliation:1. School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing 100876, China;
3. Network Security Institute, Beijing Safe-Code Technology Co., Ltd, Beijing 100082, China
Abstract:In order to detect the captured nodes as early as possible, just before they rejoin the networks, a node capture early detection method was proposed for wireless sensor networks (WSN) in asynchronous sleep mode. The proposed scheme was based on communication monitoring between neighbor nodes and a Hello message scheduling mechanism was employed to ensure the reception of Hello messages between asynchronous sleep nodes. Moreover, the local collaborative decision of common neighbors was explored to improve the detection accuracy rate. Simulations show that the proposed scheme outperforms other typical methods in terms of effectiveness including detection rate, false positive rate and false negative rate.
Keywords:wireless sensor networks  physical capture  node compromise  asynchronous sleep  early detection  
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