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» Host Based Intrusion Detection using Machine Learning
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JSS
2002
198views more  JSS 2002»
13 years 7 months ago
Automated discovery of concise predictive rules for intrusion detection
This paper details an essential component of a multi-agent distributed knowledge network system for intrusion detection. We describe a distributed intrusion detection architecture...
Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
13 years 12 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
CCS
2004
ACM
14 years 1 months ago
Testing network-based intrusion detection signatures using mutant exploits
Misuse-based intrusion detection systems rely on models of attacks to identify the manifestation of intrusive behavior. Therefore, the ability of these systems to reliably detect ...
Giovanni Vigna, William K. Robertson, Davide Balza...
HT
2005
ACM
14 years 1 months ago
Information visualization for an intrusion detection system
— Spatial hypertext was developed from studies of how humans deal with information overflow particularly in situations where data needed to be interpreted quickly. Intrusion det...
James Blustein, Ching-Lung Fu, Daniel L. Silver
JMLR
2010
185views more  JMLR 2010»
13 years 2 months ago
HMMPayl: an application of HMM to the analysis of the HTTP Payload
Zero-days attacks are one of the most dangerous threats against computer networks. These, by definition, are attacks never seen before. Thus, defense tools based on a database of ...
Davide Ariu, Giorgio Giacinto