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» Active learning for network intrusion detection
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SAC
2004
ACM
14 years 3 months ago
Unsupervised learning techniques for an intrusion detection system
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Stefano Zanero, Sergio M. Savaresi
ISI
2007
Springer
13 years 10 months ago
Host Based Intrusion Detection using Machine Learning
—Detecting unknown malicious code (malcode) is a challenging task. Current common solutions, such as anti-virus tools, rely heavily on prior explicit knowledge of specific instan...
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima S...
CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 10 months ago
Fuzzy Aided Application Layer Semantic Intrusion Detection System - FASIDS
The objective of this is to develop a Fuzzy aided Application layer Semantic Intrusion Detection System (FASIDS) which works in the application layer of the network stack. FASIDS ...
S. Sangeetha, V. Vaidehi
FLAIRS
2003
13 years 11 months ago
LIDS: Learning Intrusion Detection System
The detection of attacks against computer networks is becoming a harder problem to solve in the field of network security. The dexterity of the attackers, the developing technolog...
Mayukh Dass, James Cannady, Walter D. Potter
IJNSEC
2008
117views more  IJNSEC 2008»
13 years 10 months ago
Wavelet-based Real Time Detection of Network Traffic Anomalies
Real time network monitoring for intrusions is offered by various host and network based intrusion detection systems. These systems largely use signature or pattern matching techni...
Chin-Tser Huang, Sachin Thareja, Yong-June Shin