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Virtual-Lattice Based Intrusion Detection Algorithm over Actuator-Assisted Underwater Wireless Sensor Networks

机译:执行器辅助的水下无线传感器网络上基于虚拟格的入侵检测算法

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摘要

Due to the lack of a physical line of defense, intrusion detection becomes one of the key issues in applications of underwater wireless sensor networks (UWSNs), especially when the confidentiality has prime importance. However, the resource-constrained property of UWSNs such as sparse deployment and energy constraint makes intrusion detection a challenging issue. This paper considers a virtual-lattice-based approach to the intrusion detection problem in UWSNs. Different from most existing works, the UWSNs consist of two kinds of nodes, i.e., sensor nodes (SNs), which cannot move autonomously, and actuator nodes (ANs), which can move autonomously according to the performance requirement. With the cooperation of SNs and ANs, the intruder detection probability is defined. Then, a virtual lattice-based monitor (VLM) algorithm is proposed to detect the intruder. In order to reduce the redundancy of communication links and improve detection probability, an optimal and coordinative lattice-based monitor patrolling (OCLMP) algorithm is further provided for UWSNs, wherein an equal price search strategy is given for ANs to find the shortest patrolling path. Under VLM and OCLMP algorithms, the detection probabilities are calculated, while the topology connectivity can be guaranteed. Finally, simulation results are presented to show that the proposed method in this paper can improve the detection accuracy and save the energy consumption compared with the conventional methods.
机译:由于缺乏物理防线,入侵检测已成为水下无线传感器网络(UWSN)应用中的关键问题之一,尤其是在机密性至关重要的情况下。但是,UWSN的资源受限属性(如稀疏部署和能量约束)使入侵检测成为一个具有挑战性的问题。本文考虑了一种基于虚拟网格的方法来解决UWSN中的入侵检测问题。与大多数现有工作不同,UWSN由两种节点组成,即不能自动移动的传感器节点(SN)和可以根据性能要求自动移动的执行器节点(AN)。通过SN和AN的配合,定义了入侵者的检测概率。然后,提出了一种基于虚拟网格的监控器(VLM)算法来检测入侵者。为了减少通信链路的冗余度并提高检测概率,还为UWSN提供了一种最优的基于协调的基于格点的监视巡逻(OCLMP)算法,其中为AN提供了一种等价搜索策略,以找到最短的巡逻路径。在VLM和OCLMP算法下,可以计算检测概率,同时可以保证拓扑结构的连通性。最后,仿真结果表明,与传统方法相比,本文提出的方法可以提高检测精度,节省能耗。

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