Fuzzy Based Intrusion Detection Systems in MANET

被引:40
|
作者
Balan, Vishnu E. [1 ]
Priyan, M. K. [1 ]
Gokulnath, C. [1 ]
Devi, Usha G. [1 ]
机构
[1] VIT Univ, Sch Informat & Technol, Vellore, Tamil Nadu, India
来源
BIG DATA, CLOUD AND COMPUTING CHALLENGES | 2015年 / 50卷
关键词
mobile adhoc network (MANET); fuzzy logic technique; black hole attack; gray hole attack; NETWORKS;
D O I
10.1016/j.procs.2015.04.071
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Mobile adhoc network (MANET) is an infrastructure less wireless network and self-organized. During communication mobile adhoc network do not use any proper infrastructure so that MANET initiates request for data transfer, so MANET is vulnerable to various type of attacks such as black hole attack, warm hole attack, gray hole attack. The proposed system is to detect the malicious behavior of node by intrusion detection system with fuzzy logic technique and also to identify the type of attacks. The system is robust enough to detect attacks such as black hole attack and gray hole attack and also able to prevent those kind of attacks by using efficient node blocking mechanism such that the proposed system provides a secure communication between nodes (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:109 / 114
页数:6
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