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基于多轮询的WSN 节点捕获检测方法

WSN Node Capture Detection Method Based on Multi-Polling
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摘要 在无线传感器网络(Wireless Sensor Network,WSN)内部攻击3个阶段的第1个阶段,针对节点被捕获时检测方案误报率和漏报率高导致检测率差的问题,提出一种在节点异步休眠时融合多轮询机制与节点协同决策的检测方案。该方案将节点划分为底层节点(Bottom node,BN)、监控节点(Monitoring node,MN)及决策节点(Decision node,DN)3类,组成3级体系(THS)并构成蛛网结构(Cobweb),采用多轮询机制完成节点协同决策并降低方案的误报率。同时,该方案引入异步休眠机制保证节点的休眠不影响信息的发送与接收,降低方案的漏报率。仿真实验结果表明,该方案对于WSN内部攻击的第1阶段攻击检测具有很低的误报率和漏报率,检测率准确度较高。 In the first phase of the three phases of Wireless Sensor Network(WSN)internal attacks,aiming at the problem that the false alarm rate and underreporting rate of the detection scheme are high when the node is captured,a detection scheme is proposed that integrates multiple polling mechanisms and node collaborative decision-making when the node is sleeping asynchronously.The nodes of the scheme are divided into three categories:Bottom Node(BN),Monitoring Node(MN),and Decision Node(DN),which form a threelevel system and form a cobweb structure.Multi-polling mechanism is used to complete node coordinated decision-making and reduce the false alarm rate of the scheme;at the same time,the scheme adopts asynchronous sleep and introduces an asynchronous sleep mechanism to ensure that the sleep of the node does not affect the sending and receiving of information,which reduce the underreporting rate of the scheme,and strengthen the detection rate of the scheme by reducing the false alarm rate and the underreporting rate.The simulation experiment results show that the scheme has a very low false alarm rate,a underreporting rate,and a more accurate detection rate for the first stage of WSN internal attack detection.
作者 徐嘉慧 XU Jiahui(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)
出处 《电视技术》 2021年第4期121-128,共8页 Video Engineering
关键词 WSN 节点异步休眠 多轮询机制 节点协同决策 蛛网结构 wireless sensor network node asynchronous sleep multi-polling mechanism node coordinated decision-making cobweb structure
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