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COMCOM
2004
79views more  COMCOM 2004»
15 years 3 months ago
Anomaly detection methods in wired networks: a survey and taxonomy
Despite the advances reached along the last 20 years, anomaly detection in network behavior is still an immature technology, and the shortage of commercial tools thus corroborates...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
139
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RAID
2009
Springer
15 years 10 months ago
Protecting a Moving Target: Addressing Web Application Concept Drift
Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The re...
Federico Maggi, William K. Robertson, Christopher ...
131
Voted
AI
2008
Springer
15 years 9 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 9 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 9 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...