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A Cooperative intrusion detection algorithm based on trusted voting for mobile ad hoc network

机译:一种基于可信赖的移动临时网络网络的协作入侵检测算法

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In this paper we will propose a cooperative intrusion detection algorithm based on trusted voting on the basis of the security requirements of intrusion detection systems in mobile ad hoc networks. To run our algorithm, the network is divided into clusters and three types of nodes called header, monitor and general node are defined in each cluster. Header node initiate intrusion detection process by sending start packet for general nodes in its cluster, Based on the messages that it receives during the detection process, each monitor node determines the general nodes it suspects to be malicious and sends his vote to the header node, finally header node detect malicious nodes by analyzing these votes. This algorithm is independent of any routing protocol. Using trust-worthy nodes in voting process, defining three confidence levels for the general nodes, also taking into account the traffic rate, remaining energy and speed of general nodes in the decision making phase, considerably reduces the negative impact of natural limitation of these networks on accuracy detection, increasing the number of malicious nodes will not have any effect in accuracy of this algorithm and it is possible to detect all malicious nodes simultaneously.
机译:在本文中,我们提出了一种基于信任投票的入侵检测系统的移动ad hoc网络的安全需求的基础上,协同入侵检测算法。要运行我们的算法中,网络被划分成集群和三种类型的被称为报头,监视器和一般节点的节点在每个群集定义。头节点发起入侵检测过程通过发送起始分组在其簇一般节点,基于它在检测过程接收,每个监视器节点确定它怀疑是恶意的一般节点,并发送他的票到头部节点的消息,最后头节点通过分析这些票检测恶意节点。该算法是独立于任何路由协议。在投票过程中使用值得信赖的节点,定义为普通节点上三个置信水平,同时也考虑到流量速率,剩余的能量,并在决策阶段一般节点的速度,大大降低了这些网络的自然限制的负面影响在检测精度,增加了恶意节点的数量不会有这种算法的准确性任何影响,它可以同时检测出所有恶意节点。

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