使用多跳确认的AODV安全性增强

A. Saravanan
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引用次数: 0

摘要

在移动自组织网络和无线传感器网络(WSNs)的大多数应用中,由于不可预测的行为、环境变化和节点的移动性,安全性和功耗是一个反复出现的问题,很难解决。TERP是一种基于信任的能量路由协议,它考虑了无线传感器网络的节能和安全问题。它是AODV的改进版本,确保了低功耗,同时为AODV的无功特性添加了基于信任的系统。它还为最基本的攻击提供了解决方案,如节点自私自利、欺骗、不当行为和数据包嗅探。但是黑洞攻击,灰洞攻击,茜玻和虫洞攻击还没有在TERP中解决。提出了一种检测和防止节点异常行为和灰洞攻击的解决方案。TERP使用从邻居节点接收到的直接和间接信任建议来识别节点的错误行为。在网络的初始生命周期中,异常节点的检出率较低。因此,我们提出了一种利用多跳确认系统在初始生命周期内检测节点错误行为的方法。仿真结果表明,该方法能很好地检测灰洞和节点异常行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security Enhancements over AODV Using Multi-hop Acknowledgment
In most applications of Mobile Ad-hoc Networking and Wireless Sensor networks (WSNs), security and power consumption is a recurring problem which is very difficult to solve due to unpredictable behaviour, environmental changes and mobility of nodes. TERP is a Trust based Energy Routing Protocol that considers the energy conservation and security aspects of WSNs. It is an improved version of AODV and ensures low power consumption while adding a trust based system to the reactive nature of AODV. It also provides the solutions for the most basic attacks like node selfishness, spoofing, misbehaviour and packet sniffing. But black-hole attack, gray-hole attack, Sybil and wormhole attacks are yet to be addressed in the TERP. This paper provides a solution to detect and prevent the node misbehaviour and gray-hole attack. TERP identifies the node misbehaviour using direct and indirect trust recommendations received from neighbour nodes. The detection rate of misbehaving nodes is less during the initial life of the network. Therefore we propose a method that detects the node misbehaviour during the initial life by using a multi-hop acknowledgement system. The simulation results show that the proposed method performs well in detecting the gray-hole and node misbehaviour.
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