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AI
2008
Springer
15 years 8 months ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...
ICC
2007
IEEE
164views Communications» more  ICC 2007»
15 years 8 months ago
A Framework of Attacker Centric Cyber Attack Behavior Analysis
—Cyber attack behavior analysis can be roughly classified as “network centric” and “attacker centric” approaches. Compared with traditional “network centric” approach...
Xuena Peng, Hong Zhao
ICC
2007
IEEE
137views Communications» more  ICC 2007»
15 years 8 months ago
A Novel Algorithm and Architecture for High Speed Pattern Matching in Resource-Limited Silicon Solution
— Network Intrusion Detection Systems (NIDS) are more and more important for identifying and preventing the malicious attacks over the network. This paper proposes a novel cost-e...
Nen-Fu Huang, Yen-Ming Chu, Chi-Hung Tsai, Chen-Yi...
ICCS
2007
Springer
15 years 7 months ago
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing
We describe our project that marries data mining together with Grid computing. Specifically, we focus on one data mining application - the Minnesota Intrusion Detection System (MIN...
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric...
CSFW
2006
IEEE
15 years 7 months ago
On the Completeness of Attack Mutation Algorithms
An attack mutation algorithm takes a known instance of an attack and transforms it into many distinct instances by repeatedly applying attack transformations. Such algorithms are ...
Shai Rubin, Somesh Jha, Barton P. Miller