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PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...
INFOCOM
2000
IEEE
13 years 12 months ago
Transport and Application Protocol Scrubbing
— This paper describes the design and implementation of a protocol scrubber, a transparent interposition mechanism for explicitly removing network attacks at both the transport a...
G. Robert Malan, David Watson, Farnam Jahanian, Pa...
NCA
2009
IEEE
14 years 2 months ago
From Auto-adaptive to Survivable and Self-Regenerative Systems
—This paper charts the course of adaptive behavior in intrusion tolerance, starting from pre-programmed and usercontrolled reactive adaptation to highly sophisticated autonomic a...
Michael Atighetchi, Partha Pratim Pal
CW
2003
IEEE
14 years 25 days ago
Utilizing Statistical Characteristics of N-grams for Intrusion Detection
Information and infrastructure security is a serious issue of global concern. As the last line of defense for security infrastructure, intrusion detection techniques are paid more...
Zhuowei Li, Amitabha Das, Sukumar Nandi
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...