A Efficient Method for Intrusion Detection using GNP based on Fuzzy Class Association Rule Mining

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Provided by: Creative Commons
Topic: Data Management
Format: PDF
Due to increasing internet services, many kinds and a large number of security threats are increasing. Therefore, intrusion detection systems are effectively used for detecting intrusion accesses. This paper describes a novel fuzzy class association rule mining method based on Genetic Network Programming (GNP) for detecting network intrusions. GNP is an evolutionary optimization technique, which uses directed graph structures instead of strings in genetic algorithm or trees in genetic programming, which enhance the representation ability with compact programs derived from the reusability of nodes in a graph structure.
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