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» LIDS: Learning Intrusion Detection System
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SAC
2004
ACM
14 years 28 days 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
CN
2007
106views more  CN 2007»
13 years 7 months ago
Learning DFA representations of HTTP for protecting web applications
Intrusion detection is a key technology for self-healing systems designed to prevent or manage damage caused by security threats. Protecting web server-based applications using in...
Kenneth L. Ingham, Anil Somayaji, John Burge, Step...
JSW
2007
138views more  JSW 2007»
13 years 7 months ago
Learning Problem and BCJR Decoding Algorithm in Anomaly-based Intrusion Detection Systems
— The anomaly-based intrusion detection systems examine current system activity do find deviations from normal system activity. The present paper proposes a method for normal act...
Veselina G. Jecheva, Evgeniya P. Nikolova
ML
2010
ACM
155views Machine Learning» more  ML 2010»
13 years 6 months ago
On the infeasibility of modeling polymorphic shellcode - Re-thinking the role of learning in intrusion detection systems
Current trends demonstrate an increasing use of polymorphism by attackers to disguise their exploits. The ability for malicious code to be easily, and automatically, transformed in...
Yingbo Song, Michael E. Locasto, Angelos Stavrou, ...
IEEEIAS
2008
IEEE
14 years 1 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...