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Blackhole Attack Detection in Wireless Sensor Networks Using Support Vector Machine

机译:支持向量机在无线传感器网络中的黑洞攻击检测

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The paper demonstrates simulation of blackhole attack in wireless sensor networks. A node is considered suspicious in case there is a large drop of packets by the node and as a result very little or none of the packets are able to reach the destination. The paper proposes first a modified AODV routing protocol for simulating a blackhole second detecting the same using contingency table generated by the model based on support vector machine.
机译:本文演示了无线传感器网络中黑洞攻击的仿真。万一该节点丢弃大量数据包,则该节点被视为可疑节点,结果是很少或没有数据包能够到达目的地。本文首先提出了一种改进的AODV路由协议,用于模拟黑洞,其次使用基于支持向量机的模型生成的列联表来检测黑洞。

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