基于SVM的AODV和SAODV路由协议抗黑洞攻击性能分析

S. Kaushik, K. Tripathi, Rashmi Gupta, Prerna Mahajan
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引用次数: 1

摘要

本文利用支持向量机(SVM)技术对AODV (Ad-hoc-on-Demand Distance Vector)协议和SAODV (Secure Ad-hoc-on-Demand Distance Vector)协议在节点间传输和通信中的性能进行了分析。对自组网中SAODV协议和AODV协议在能量消耗、吞吐量、分组传送率和端到端时延等参数上的抗黑洞攻击进行了比较分析。设计了一种基于在分组传输时所做的计算和估计的学习来制定规则的方法。结果表明,该方法比在建立网络时制定网络规则的方法效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of AODV and SAODV Routing Protocol using SVM against Black Hole Attack
This paper presents the performance analysis of Ad-hoc-on-Demand Distance Vector (AODV) and Secure Ad-hoc-on-Demand Distance Vector (SAODV) protocol for packets transfer and communication among the nodes using Support Vector Machine (SVM) technique. The comparative analysis of SAODV and AODV protocol are presented against blackhole attack for the parameters energy consumption, throughput, packet delivery ratio and end-to-end delay in ad hoc networks. A methodology is designed which lays rules based on learnings from the computations and estimations made at the time of packet transfer. It has been found that the proposed methodology gives promising results than the one which lays networking rules at the time of setting up the network.
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