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» Combined Data Mining Approach for Intrusion Detection
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ESORICS
2006
Springer
14 years 8 days ago
Modeling and Evaluating the Survivability of an Intrusion Tolerant Database System
The immaturity of current intrusion detection techniques limits the traditional security systems in surviving malicious attacks. Intrusion tolerance approaches have emerged to over...
Hai Wang, Peng Liu
ACSC
2005
IEEE
14 years 2 months ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
MSS
2005
IEEE
84views Hardware» more  MSS 2005»
14 years 2 months ago
Storage-Based Intrusion Detection for Storage Area Networks (SANs)
Storage systems are the next frontier for providing protection against intrusion. Since storage systems see changes to persistent data, several types of intrusions can be detected...
Mohammad Banikazemi, Dan E. Poff, Bülent Abal...
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
14 years 3 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
JSS
2002
198views more  JSS 2002»
13 years 8 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...