Trust Model With Defense Scheme in Manets

Syeda Kausar Fatima, Syeda Gauhar Fatima, Syed Abdul Sattar, Syed Mohd Ali
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Abstract

The reliability of delivering packets through multi-hop intermediate nodes is a significant issue in the mobile ad hoc networks (MANETs). The distributed mobile nodes establish connections to form the MANET, which may include selfish and misbehaving nodes. Recommendation based trust management has been proposed in the literature as a mechanism to filter out the misbehaving nodes while searching for a packet delivery route. However, building a trust model that relies on the recommendations from other nodes in the network is vulnerable to the possible dishonest behaviour, such as badmouthing, ballot-stuffing, and collusion, of the recommending nodes. This paper investigates the problems of attacks posed by misbehaving nodes while propagating recommendations in the existing trust models. We propose a recommendation-based trust model with a defence scheme that utilises clustering technique to dynamically filter attacks related to dishonest recommendations within certain time based on number of interactions, compatibility of information and node closeness. The model is empirically tested in several mobile and disconnected topologies in which nodes experience changes in their neighbourhoods and consequently face frequent route changes. The empirical analysis demonstrates robustness and accuracy of the trust model in a dynamic MANET environment.
马奈的带有防御方案的信任模型
在移动自组网(manet)中,通过多跳中间节点传送数据包的可靠性是一个重要问题。分布式移动节点建立连接形成MANET,其中可能包括自私和行为不端的节点。文献中提出了基于推荐的信任管理,作为在搜索数据包传递路由时过滤掉行为不端的节点的机制。然而,建立一个依赖于网络中其他节点推荐的信任模型,很容易受到推荐节点可能存在的不诚实行为的影响,比如说坏话、填票、串通等。本文研究了在现有的信任模型中,行为不端的节点在传播推荐时所引起的攻击问题。我们提出了一种基于推荐的信任模型,该模型利用聚类技术在一定时间内根据交互次数、信息兼容性和节点亲密度动态过滤与不诚实推荐相关的攻击。该模型在几个移动和断开的拓扑结构中进行了经验测试,其中节点在其邻居中经历变化,因此面临频繁的路由变化。实证分析证明了动态MANET环境下信任模型的鲁棒性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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