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A trust based Information sharing model (TRUISM) in MANET in the presence of uncertainty

机译:存在不确定性的MANET中基于信任的信息共享模型(TRUISM)

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In the absence of centralized trusted authorities (CTA), security is one of the foremost concern in Mobile Ad-hoc Networks (MANET) as the network is open to attacks and unreliability in the presence of malicious nodes (devices). With increasing demand of interactions among nodes, trust based information sharing needs more stringent rules to ensure security in this pervasive computing scenario. In this paper, we present a novel multi-hop recommendation based trust management scheme (TRUISM). We adapt famous Dempster-Shafer theory that can efficiently combine recommendations from multiple devices in the presence of unreliable and malicious recommendations. A novel recommendation-routing protocol named ‘buffering on-the-fly’ has been introduced to reduce the number of recommendation traffic by storing trust values in intermediate nodes. TRUISM also provides a flexible behavioral model for trust computation where a node can prioritize recommendations based on its requirements. Evaluation result shows that our model not only performs well in the presence of contradictory recommendations but also ensures a faster and scalable trust based information sharing by reducing the overall packet flow in the system.
机译:在没有集中式可信授权机构(CTA)的情况下,安全性是移动自组织网络(MANET)中最重要的问题之一,因为该网络在存在恶意节点(设备)的情况下容易受到攻击和不可靠。随着节点之间交互需求的增加,基于信任的信息共享需要更严格的规则以确保在这种普适计算场景中的安全性。在本文中,我们提出了一种新颖的基于多跳推荐的信任管理方案(TRUISM)。我们采用著名的Dempster-Shafer理论,可以在存在不可靠和恶意的建议的情况下有效地组合来自多个设备的建议。引入了一种新颖的推荐路由协议,称为“即时缓冲”,以通过将信任值存储在中间节点中来减少推荐流量。 TRUISM还为信任计算提供了灵活的行为模型,其中节点可以根据其需求对建议进行优先级排序。评估结果表明,我们的模型不仅在存在相互矛盾的建议的情况下表现良好,而且还通过减少系统中的总体数据包流,确保了基于信任的信息共享的更快和可扩展性。

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