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ISSADS
2005
Springer
13 years 11 months ago
On the Role of Information Compaction to Intrusion Detection
An intrusion detection system (IDS) usually has to analyse Giga-bytes of audit information. In the case of anomaly IDS, the information is used to build a user profile characteris...
Fernando Godínez, Dieter Hutter, Raul Monro...
ASPLOS
2010
ACM
14 years 19 days ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
SP
1999
IEEE
132views Security Privacy» more  SP 1999»
13 years 10 months ago
Detecting Computer and Network Misuse through the Production-based Expert System Toolset (P-BEST)
This paper describes an expert system development toolset called the Production-Based Expert System Toolset (P-BEST) and how it is employed in the development of a modern generic ...
Ulf Lindqvist, Phillip A. Porras
CCS
2003
ACM
13 years 11 months ago
Enhancing byte-level network intrusion detection signatures with context
Many network intrusion detection systems (NIDS) use byte sequences as signatures to detect malicious activity. While being highly efficient, they tend to suffer from a high false...
Robin Sommer, Vern Paxson
SPIN
2009
Springer
14 years 9 days ago
Identifying Modeling Errors in Signatures by Model Checking
: Most intrusion detection systems deployed today apply misuse detection as analysis method. Misuse detection searches for attack traces in the recorded audit data using predefined...
Sebastian Schmerl, Michael Vogel, Hartmut Kön...