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A Probabilistic Energy-Efficient Approach for Monitoring and Detecting Malicious/Selfish Nodes in Mobile Ad-hoc Networks

机译:一种用于监控和检测移动ad-hoc网络中恶意/自私节点的概率节能方法

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MANETs are networks composed of mobile nodes connected using the wireless medium to communicate each other. The MANET nature makes it subject to various types of security leaks. External nodes could interfere with the communication, fair nodes could be compromised at any time by malicious agents. Another issue regards the limited amount of energy available to nodes, so their behavior could become selfish under some conditions. Many proposals detect these behaviors using a trust management system, but the activity of packet monitoring is energy-consuming. The main aim of this proposal is the reduction of the energy required by the monitoring system without lowering detection performance. Various simulations show that the achievement of this result is obtained through the application of a probabilistic approach, having also better performance in terms of time needed to detect misbehaviors.
机译:疯狂是由使用无线媒体连接的移动节点组成的网络,彼此通信。 MANET Nature使它受到各种类型的安全泄漏。外部节点可能会干扰通信,公平节点可能会在恶意代理人随时受到损害。另一个问题是节点可用的有限的能量,因此他们的行为可能在某些条件下变得自私。许多建议使用信托管理系统检测这些行为,但数据包监控的活动是能耗的。该提案的主要目的是减少监测系统所需的能量,而不会降低检测性能。各种模拟表明,通过应用概率方法获得了该结果的实现,在检测不当所需的时间方面具有更好的性能。

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