@inproceedings{f8981dd3750a400285633ede1aece3ee,
title = "Application of feature selection and fuzzy ARTMAP to intrusion detection",
abstract = "This paper proposes a novel approach for intrusion detection and diagnosis. The proposed approach uses Sequential Backward Floating Search for feature selection and fuzzy ARTMAP for detection and diagnosis of attacks. The optimal vigilance parameter for the fuzzy ARTMAP is chosen using a genetic algorithm. The reduced set of features decreases the computation time by 0.789s. A classification rate of 100% and 99.89% is obtained for the detection stage and diagnosis stage, respectively.",
author = "Vilakazi, {Christina B.} and Tshilidzi Marwala",
year = "2006",
doi = "10.1109/ICSMC.2006.385078",
language = "English",
isbn = "1424401003",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4880--4885",
booktitle = "2006 IEEE International Conference on Systems, Man and Cybernetics",
address = "United States",
note = "2006 IEEE International Conference on Systems, Man and Cybernetics ; Conference date: 08-10-2006 Through 11-10-2006",
}