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A power efficient method against misbehaving node in reputation system to prevent sybil attack in mobile ad-hoc network

机译:一种防止信誉机制中节点行为异常以防止移动自组织网络中的sybil攻击的高效方法

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摘要

Mobile ad-hoc network has become a very important field of study for students and researchers owing to its wide application. In mobile ad-hoc network all nodes are responsible for routing and forwarding of packets, hence all nodes are required to act selflessly for proper functioning of mobile ad-hoc network. The presence of selfish behavior in a node can degrade the performance of the mobile ad hoc network to a large extent. Several works have been done for identification and punishment of the misbehaving nodes in mobile ad hoc network. We propose here a method where some selected neighbors are participated in detecting misbehaving nodes in power effective manners. These neighbors participating in selfish node detection are chosen randomly. It also alerts all other nodes about the misbehaving links in the network. The simulation studies show that this does the job efficiently with less power consumption in the network. The power effectiveness of the algorithm also reduces the number of misbehaving nodes because many nodes show misbehavior to save their power.
机译:移动自组织网络由于其广泛的应用已经成为学生和研究人员非常重要的研究领域。在移动自组织网络中,所有节点都负责数据包的路由和转发,因此,要求所有节点无私地采取行动,以使移动自组织网络正常工作。节点中自私行为的存在会在很大程度上降低移动自组织网络的性能。已经进行了一些工作来识别和惩罚移动自组织网络中行为异常的节点。我们在这里提出一种方法,其中一些选定的邻居以功率有效的方式参与检测行为异常的节点。这些参与自私节点检测的邻居是随机选择的。它还会向所有其他节点发出有关网络中行为异常的警报。仿真研究表明,这种方法可以有效地完成工作,并减少网络中的功耗。该算法的功效还减少了异常节点的数量,因为许多节点显示出不良行为以节省功率。

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