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A Security Mechanism for Cluster-Based WSN against Selective Forwarding

机译:基于集群的WSN的选择性转发安全机制

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摘要

A wireless sensor network (WSN) faces a number of outsider and insider attacks, and it is difficult to detect and defend against insider attacks. In particular, an insider selective-forwarding attack, in which the attackers select some of the received packets to drop, most threatens a WSN. Compared to a distributed WSN, a cluster-based WSN will suffer more losses, even the whole network’s destruction, if the cluster head is attacked. In this paper, a scheme solving the above issues is proposed with three types of nodes, the Cluster Head (CH), the Inspector Node (IN) and Member Nodes (MNs). The IN monitors the CH’s transmission to protect the cluster against a selective-forwarding attack; the CH forwards packets from MNs and other CHs, and randomly checks the IN to ascertain if it works properly; and the MNs send the gathered data packets to the CH and evaluate the behaviors of the CH and IN based on their own reputation mechanism. The novelty of our scheme is that in order to take both the safety and the lifespan of a network into consideration, the composite reputation value (CRV) including forwarding rate, detecting malicious nodes, and surplus energy of the node is utilized to select CH and IN under the new suggested network arrangement, and the use of a node’s surplus energy can balance the energy consumption of a node, thereby prolonging the network lifespan. Theoretical analysis and simulation results indicate that the proposed scheme can detect the malicious node accurately and efficiently, so the false alarm rate is lowered by 25.7% compared with Watchdog and the network lifespan is prolonged by 54.84% compared with LEACH (Low Energy Adaptive Clustering Hierarchy).
机译:无线传感器网络(WSN)面临许多外部和内部攻击,并且很难检测和防御内部攻击。特别是内部选择转发攻击(其中攻击者选择一些接收到的数据包进行丢弃)最威胁WSN。与分布式WSN相比,如果集群头受到攻击,基于集群的WSN将遭受更大的损失,甚至整个网络都将遭受破坏。在本文中,提出了一种解决上述问题的方案,其中包括三种类型的节点:簇头(CH),检查者节点(IN)和成员节点(MN)。 IN监视CH的传输,以保护群集免受选择性转发攻击; CH转发来自MN和其他CH的报文,并随机检查IN,以确认其是否正常工作; MN将收集到的数据包发送给CH,并根据自己的信誉机制评估CH和IN的行为。我们的方案的新颖性在于,为了同时考虑网络的安全性和寿命,利用包括转发率,检测恶意节点和节点剩余能量的复合信誉值(CRV)来选择CH和在新建议的网络安排下,IN的使用以及节点剩余能量的使用可以平衡节点的能耗,从而延长网络寿命。理论分析和仿真结果表明,该方案能够准确有效地检测出恶意节点,与Watchdog相比,误报率降低了25.7%,与LEACH(低能耗自适应聚类层次)相比,网络寿命延长了54.84%。 )。

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