Title :
Technology of producing intrusion rules based of Fuzzy ID3 Algorithm
Author :
Wang, Lei ; Yao, Wei ; Wang, Fang ; Zhang, Shuo
Author_Institution :
Coll. of Inf. Sci. & Technol., Agric. Univ. of Hebei, Baoding, China
Abstract :
This article aim at the MC Agent which kinds of the general computer immune system model (GECISM), basing on fuzzy-ID3 Algorithm and constructing decision tree with the data set made by the system invoke of the application procedures, thus generated the intrusion detection rules in the General computer immune system model, and carried on a contrastive diagnosis with the C4.5 algorithm generative rule, it´s lower misreport and fail-to-report rates with classifying unknown data set by the rule generated from fuzzy-Id3 algorithm.
Keywords :
artificial immune systems; decision trees; fuzzy set theory; knowledge acquisition; knowledge based systems; pattern classification; security of data; C4.5 algorithm generative rule; MC Agent; contrastive diagnosis; data set classification; decision tree; fail-to-report rate; fuzzy ID3 algorithm; general computer immune system model; intrusion detection rules; misreport rate; rule generation; Biological system modeling; Biology computing; Computer networks; Cybernetics; Decision trees; Fuzzy sets; Immune system; Machine learning; Machine learning algorithms; Safety; Computer immune system; Fuzzy-ID3; Intrusion detection; Rules Introduction; System call;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212425
