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ICIAP
2005
ACM
16 years 2 months ago
Learning Intrusion Detection: Supervised or Unsupervised?
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
Pavel Laskov, Patrick Düssel, Christin Sch&au...
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
15 years 3 months ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
ICONIP
2004
15 years 3 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
JCIT
2010
161views more  JCIT 2010»
14 years 8 months ago
Improvement on Intrusion Detection Technology Based on Protocol Analysis and Pattern Matching
With the development of high-speed network technique and increasing volume of network traffic, traditional pattern matching method can't adapt to the new challenges to intrus...
Liang Hu, Kuo Tang, Yu Ku, Kuo Zhao
ACSC
2003
IEEE
15 years 7 months ago
Policies for Sharing Distributed Probabilistic Beliefs
In this paper, we present several general policies for deciding when to share probabilistic beliefs between agents for distributed monitoring. In order to evaluate these policies,...
Christopher Leckie, Kotagiri Ramamohanarao