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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 ...
ML
2010
ACM
155views Machine Learning» more  ML 2010»
13 years 5 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, ...
JNCA
2007
179views more  JNCA 2007»
13 years 6 months ago
Modeling intrusion detection system using hybrid intelligent systems
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper p...
Sandhya Peddabachigari, Ajith Abraham, Crina Grosa...
ACSAC
2004
IEEE
13 years 10 months ago
Visualizing and Identifying Intrusion Context from System Calls Trace
Anomaly-based Intrusion Detection (AID) techniques are useful for detecting novel intrusions without known signatures. However, AID techniques suffer from higher false alarm rate ...
Zhuowei Li, Amitabha Das
IRI
2005
IEEE
14 years 8 days ago
Exploiting efficient data mining techniques to enhance intrusion detection systems
- Security is becoming a critical part of organizational information systems. Intrusion Detection System (IDS) is an important detection that is used as a countermeasure to preserv...
Chang-Tien Lu, Arnold P. Boedihardjo, Prajwal Mana...