Instance-Based Learning Algorithms
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
A Neural Network Component for an Intrusion Detection System
SP '92 Proceedings of the 1992 IEEE Symposium on Security and Privacy
Naive Bayes vs decision trees in intrusion detection systems
Proceedings of the 2004 ACM symposium on Applied computing
Distributed Intrusion Detection Framework based on Autonomous and Mobile Agents
DEPCOS-RELCOMEX '06 Proceedings of the International Conference on Dependability of Computer Systems
Intrusion detection using a fuzzy genetics-based learning algorithm
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
Layered Approach Using Conditional Random Fields for Intrusion Detection
IEEE Transactions on Dependable and Secure Computing
A prototype real-time intrusion-detection expert system
SP'88 Proceedings of the 1988 IEEE conference on Security and privacy
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
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This paper tries to propose a fuzzy particle optimization algorithm (FPSO) for intrusion detection. The proposed FPSO classifier works on a knowledge base modelled as a fuzzy rule if-then and improved by a PSO algorithm. The objective is to obtain good quality solutions by optimizing the fuzzy rules generation. The method is tested on the benchmark KDD'99 intrusion dataset and compared with the fuzzy genetic algorithm and with other existing techniques available in the literature. The obtained results show the efficiency of the proposed approach.