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Resiliency to Conflicting Behavior Attack through a comprehensive Trust Management Framework to reduce the uncertainty in a Mobile Ad hoc Network

机译:通过全面的信任管理框架弹性对冲突行为攻击,以减少移动临时网络中的不确定性

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Trust based routing in a mobile ad hoc network significantly depends upon the robustness of the trust computation framework. As more and more sophistication is added to the attack model so as to evade detection, it becomes very challenging to assess the true behavior of a node to assign a trust metric so as to form a reliable route. The current research presents the design of a trust refinement filter over an uncertainty reasoning based trust management framework to counter the conflicting behavior attack which is an advanced attack model employed by the malicious packet droppers. The conflicting behavior attack induces uncertainty in the trust computation with regard to malicious packet droppers and dishonest recommenders. To ensure the accuracy of trust computation under such an attack model, a modified trust update scheme is incorporated into the baseline scheme. Specifically, the referral trust and the forwarding trust components of the nodes involved will be affected. The resiliency of the scheme to the conflicting behavior attack is proved through the accuracy of trust value thereby forming a truly trustable route. The performance evaluation using the simulation depicts commendable network performance despite intelligent attackers.
机译:移动临时网络中基于信任的路由显着取决于信任计算框架的鲁棒性。随着越来越多的复杂性被添加到攻击模型中,以逃避检测,评估节点的真实行为来分配信任度量,以形成可靠的路线变得非常具有挑战性。目前的研究介绍了基于不确定的推理基于信任管理框架的信任细化过滤器的设计,以对抗恶意数据包滴注器采用的高级攻击模型的冲突行为攻击。相互冲突的行为攻击在恶意数据包滴注器和不诚实的推荐方面引起了信任计算的不确定性。为了确保在这种攻击模型下的信任计算准确性,修改后的信任更新方案被纳入基线方案。具体而言,涉及的节点的推荐信任和转发信任组件将受到影响。通过信任价值的准确性来证明方案对冲突行为攻击的弹性,从而形成一个真正可信赖的路线。尽管智能攻击者,但使用模拟的性能评估描述了值得称道的网络性能。

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