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» Intrusion Detection with Neural Networks
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COMCOM
2002
189views more  COMCOM 2002»
13 years 7 months ago
Intrusion detection techniques and approaches
Recent security incidents and analysis have demonstrated that manual response to such attacks is no longer feasible. Intrusion Detection systems offer techniques for modelling and...
Theuns Verwoerd, Ray Hunt
SERSCISA
2009
Springer
14 years 2 months ago
A Deployment Value Model for Intrusion Detection Sensors
The value of an intrusion detection sensor is often associated with its data collection and analysis features. Experience tells us such sensors fall under a range of different typ...
Siraj A. Shaikh, Howard Chivers, Philip Nobles, Jo...
ASIAMS
2008
IEEE
14 years 2 months ago
Data Reduction and Ensemble Classifiers in Intrusion Detection
Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous de...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
HICSS
2003
IEEE
211views Biometrics» more  HICSS 2003»
14 years 1 months ago
Effective Intrusion Detection Using Multiple Sensors in Wireless Ad Hoc Networks
In this paper we propose a distributed intrusion detection system for ad hoc wireless networks based on mobile agent technology. Wireless networks are particularly vulnerable to i...
Oleg Kachirski, Ratan K. Guha
CSREASAM
2006
13 years 9 months ago
Agent-based Distributed Intrusion Detection Methodology for MANETs
Intrusion detection, as a complementary mechanism to intrusion prevention, is necessary to secure wireless Mobile Ad hoc Networks (MANETs). In this paper we propose a practical age...
Hongmei Deng, Roger Xu, Frank Zhang, Chiman Kwan, ...