An agent based approach for intrusion detection and prevention in mobile networks

被引：0
|
作者：
Veeraraghavan, Sampathkumar [1 ]
Rampa, Sankeerth [2 ]
Kannan, Anand [3 ]
Kannan [4 ]
机构：
[1] TATA Consultancy Serv Ltd, BFS Ctr, Comp Consultancy Dept, Madras, Tamil Nadu, India
[2] SRM Univ, Dept Elect & Commun, Madras, Tamil Nadu, India
[3] Sri Sai Ram Engn Coll, Dept Comp Sci & Engn, Madras, Tamil Nadu, India
[4] Coll Engn, Dept Comp Sci & Engn, Madras, Tamil Nadu, India
来源：
IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2007年
关键词：
intelligent agents; intrusion detection systems; mobile network forecasting; OneR algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes about an intelligent agent based intrusion detection and prevention system for mobile ad hoc network. This system collects data from application layer and network layer and classifies them using the log file data collected from these layers and local anomalies are computed using local agents finally it is sent to a global agent for integration. The local agents monitor the two layers of the network to determine the correlation among the observed anomalous patterns, reporting such abnormal behavior to the administrator for taking possible action. Our simulation results obtained after integration shows that it is possible to obtain high intrusion-detection rates (99.2%) and low false-alarm rates.
引用
收藏
页码：561 / +
页数：2
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