Detecting New Forms of Network Intrusion Using Genetic Programming
作者： Wei Lu , Issa Traore
DOI: 10.1111/J.0824-7935.2004.00247.X
关键词: Network security 、 Crossover 、 Mutation (genetic algorithm) 、 Genetic programming 、 Intrusion detection system 、 Anomaly detection 、 Artificial intelligence 、 False positive rate 、 Mathematics 、 Machine learning 、 Anomaly-based intrusion detection system
摘要: … In this paper, a rule evolution approach based on Genetic Programming (GP) for detecting novel attacks on networks is presented and four genetic operators, namely reproduction, …
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