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

Volume

2

fYear

2009

fDate

12-15 July 2009

Firstpage

844

Lastpage

848

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2009.5212425

Filename

5212425