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» Network Intrusion Detection Using Genetic Clustering
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AUSAI
2004
Springer
14 years 2 months ago
Genetic Algorithm Based K-Means Fast Learning Artificial Neural Network
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
Yin Xiang, Alex Leng Phuan Tay
CCS
2003
ACM
14 years 2 months ago
Anomaly detection of web-based attacks
Web-based vulnerabilities represent a substantial portion of the security exposures of computer networks. In order to detect known web-based attacks, misuse detection systems are ...
Christopher Krügel, Giovanni Vigna
IJNSEC
2006
89views more  IJNSEC 2006»
13 years 8 months ago
Mitigation of Insider Risks using Distributed Agent Detection, Filtering, and Signaling
An insider-robust approach to file integrity verification is developed using interacting strata of mobile agents. Previous approaches relied upon monolithic architectures, or more...
Adam J. Rocke, Ronald F. DeMara
USS
2010
13 years 6 months ago
Building a Dynamic Reputation System for DNS
The Domain Name System (DNS) is an essential protocol used by both legitimate Internet applications and cyber attacks. For example, botnets rely on DNS to support agile command an...
Manos Antonakakis, Roberto Perdisci, David Dagon, ...
CORR
2010
Springer
175views Education» more  CORR 2010»
13 years 8 months ago
Detecting Security threats in the Router using Computational Intelligence
Information security is an issue of global concern. As the Internet is delivering great convenience and benefits to the modern society, the rapidly increasing connectivity and acc...
J. Visumathi, K. L. Shunmuganathan