基于节点行为预测的MANET可靠数据传输信任管理系统

V. Pavani, B. Sathyanarayana
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引用次数: 6

摘要

传统无线网络的一个临时版本提供了移动自组网(MANET),非常适合应急需求。但与此同时,由于其基础设施较少和资源有限,对其性能产生了诸多挑战。由于它的动态行为,它容易引起高度的安全问题,因为完整的通信周期依赖于自愿加入和离开的独立节点。一些安全研究表明,信任管理系统可以有效地实现低开销。但是,这些研究大多使用基于预定义信任方案的自动决策算法。这种方案在运行时无法区分节点有意错误和无意错误,从而影响通信路径的选择。因此,识别节点行为并提供节点恢复方案是非常重要的。本文提出了一种基于节点行为预测算法的信任管理系统,以保证网络的稳定性和安全性,保证数据的可靠传输。该算法将预测和识别节点行为,区分无意的临时错误和故意的恶意行为,并计算节点的总体信任。实验结果表明,节点行为预测和信任管理系统提高了网络的吞吐率和稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A reliable data delivery using trust management system based on node behaviour predication in MANET
An improvisation version of traditional wireless networks provide mobile ad hoc network (MANET), which is highly suitable for emergency needs. But, at the same time, due to its infrastructure less and resources limitation create many challenges in its performance. Mainly due to its dynamic behaviour it prones to high security concern, as the complete communication cycle depends on the independent nodes which voluntary join and leave. Several security studies reveal that trust management systems can be effective and attained low overhead. But, most of these studies used an automated decision algorithms based on some predefined trust scheme. This kind of scheme unable to distinguish the node intentional and unintentional errors at runtime, which impact the selected paths for the communication. So, it is very important to identify node behaviour and also provide node recovery scheme. In this paper, we propose a novel trust management system based on node behaviour predication algorithm to preserve high network stability and security for the reliable data delivery. The algorithm will predict and identify the node behaviour and distinguish between unintentional temporary errors and intentional malicious behaviour and compute a node overall trust. Experimental results show that, node behavior prediction and trust management system improvise the throughput ratio and network stability.
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