SAINT '03 Proceedings of the 2003 Symposium on Applications and the Internet
Learning Rules for Anomaly Detection of Hostile Network Traffic
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Intrusion Sensor Data Fusion in an Intelligent Intrusion Detection System Architecture
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 9 - Volume 9
Naive Bayes vs decision trees in intrusion detection systems
Proceedings of the 2004 ACM symposium on Applied computing
Adaptive Neuro-Fuzzy Intrusion Detection Systems
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Protocol Analysis in Intrusion Detection Using Decision Tree
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
An approach to implement a network intrusion detection system using genetic algorithms
SAICSIT '04 Proceedings of the 2004 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
Some Issues in Solving the Anomaly Detection Problem using Immunological Approach
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 6 - Volume 07
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Applying both positive and negative selection to supervised learning for anomaly detection
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Analysis and mathematical justification of a fitness function used in an intrusion detection system
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A Software Implementation of a Genetic Algorithm Based Approach to Network Intrusion Detection
SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks
Wavelets in Intelligent Transportation Systems
Wavelets in Intelligent Transportation Systems
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
The computer defense immune system: current and future research in intrusion detection
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Incorporating soft computing techniques into a probabilistic intrusion detection system
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An immunity-based technique to characterize intrusions in computernetworks
IEEE Transactions on Evolutionary Computation
Training genetic programming on half a million patterns: an example from anomaly detection
IEEE Transactions on Evolutionary Computation
A formal framework for positive and negative detection schemes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hierarchical Kohonenen net for anomaly detection in network security
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Detecting attack signatures in the real network traffic with ANNIDA
Expert Systems with Applications: An International Journal
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Computational intelligence has figured prominently in many solutions to the network intrusion detection problem since the 1990s. This prominence and popularity has continued in the contributions of the recent past. These contributions present the success and potential of computational intelligence in network intrusion detection systems for tasks such as feature selection, signature generation, anomaly detection, classification, and clustering. This paper reviews these contributions categorized in the sub-areas of soft computing, machine learning, artificial immune systems, and agent-based systems.