VLDD: Vindictive Link detection in Distance Vector Routine for ad hoc network

K. Sreenivasulu, E. Prasad, A. Subramanyam
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Abstract

In this paper we present a novel Vindictive Link detection enabled Distance Vector Routing Protocol (VLDD) for mobile ad hoc networks, through which the cost of working out and consumption of resources is bounded. While most of the existing models go for Digital Signature the proposed protocol is based on adept symmetric key cryptography with proactive routing topology called DSDV. This proposed protocol offers an efficient hash chaining technique in which each node in the routing path stores only one arcanum where as the hash chained based protocols obliges high storage memory as it requires to preserve multiple numbers of Aracnums. The other hash chaining protocols like SEAD uses multiple user authentications where as VLDD uses only one authentication tag for giving acknowledgements, and for fault declarations. By the efficient use of hash chain elements the metric values and the sequence numbers on the path can be secured from logical tampering. In contrast with the proactive routing topology called SEAD that cited frequently in literature about secure ad hoc routing provides security that limited to lower bound of the evaluation metrics, VLDD can provide total protection. We evaluated scalability of VLDD by comparing with state-of-the-art algorithms and observed that it is scalable, adaptive over a wide range of divergent situations under different number of assessment measures. In particular, we show that it scales better on networks with dense in node count. In this regard simulation model developed inNS-2 environment.
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自组网中距离矢量例程的报复性链路检测
本文提出了一种新的基于报报性链路检测的移动自组织网络距离矢量路由协议(VLDD),通过该协议,计算和消耗的资源成本是有限的。虽然大多数现有模型都采用数字签名,但提议的协议是基于灵活的对称密钥加密技术,具有称为DSDV的主动路由拓扑。该提议的协议提供了一种高效的哈希链技术,其中路由路径中的每个节点仅存储一个奥秘,而基于哈希链的协议要求高存储内存,因为它需要保存多个奥秘。其他散列链协议(如SEAD)使用多个用户身份验证,而VLDD仅使用一个身份验证标记来给出确认和错误声明。通过有效地利用哈希链元素,可以保护路径上的度量值和序列号不受逻辑篡改。与被称为SEAD的主动路由拓扑(在有关安全自组织路由的文献中经常被引用)相比,它提供的安全性仅限于评估指标的下界,而VLDD可以提供全面的保护。我们通过比较最先进的算法来评估VLDD的可扩展性,并观察到它在不同数量的评估措施下在广泛的不同情况下具有可扩展性和自适应性。特别是,我们证明了它在节点数密集的网络上可以更好地扩展。为此开发了inNS-2环境仿真模型。
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