文章基本信息

标题：An Artificial Intelligence Approach towards Intrusion Detection in Soft Systems
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作者：Vishal Sharma ; Takshi Gupta
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：2
出版社：S.S. Mishra
摘要：Soft Systems is the terminology given to those systems that have a software base at its working side as a primary or secondary support. These systems may include Wireless system such as cellular networks, ad hoc networks or any other software that may be dealing with encrypted information which is meant for particular receiver. These systems are very delicate in terms of working in harsh conditions and one of the major threats to this system is that of Intrusions. Broadly speaking intrusion can b of two types one that intentionally attacks the system and other that might be a bug that is generated because of human error while deploying. We are dealing with black holes and have proposed a model which is equipped with all necessary requirements that can avoid such intrusions in any type of environment. We have divided our strategy in two formats one for Wireless network and other for the client -server applications. For Network based analysis we have used NS-2 simulator and for client¨Cserver system we have developed our own software that justifies its use as an intrusion detection system
关键词：Artificial Intelligence; Intrusion; Ad hoc Networks; Client ¨C Server Model; black holes