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» A Linear Genetic Programming Approach to Intrusion Detection
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HICSS
2003
IEEE
118views Biometrics» more  HICSS 2003»
15 years 3 months ago
On-Line Intrusion Detection and Attack Prevention Using Diversity, Generate-and-Test, and Generalization
We have built a system for protecting Internet services to securely connected, known users. It implements a generate-and-test approach for on-line attack identification and uses s...
James C. Reynolds, James E. Just, Larry A. Clough,...
ASPLOS
2010
ACM
15 years 4 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
ICTAI
2009
IEEE
15 years 4 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
RAID
2007
Springer
15 years 3 months ago
Understanding Precision in Host Based Intrusion Detection
Abstract. Many host-based anomaly detection systems monitor process execution at the granularity of system calls. Other recently proposed schemes instead verify the destinations of...
Monirul I. Sharif, Kapil Singh, Jonathon T. Giffin...
ICAI
2004
14 years 11 months ago
Reducing False Alarms Using Genetic Programming in Object Detection
: This paper describes a refinement of an approach to locating objects in complex images with the objective of reducing the false alarm rate. The method uses genetic programming to...
Andrew Innes, Victor Ciesielski, John Mamutil, Sab...