DocumentCode
607341
Title
Method on rule extracting in misuse intrusion detection based on rough set genetic algorithm
Author
Qin Aiming ; Shao Li
Author_Institution
Inf. Coll., Capital Univ. of Econ. & Bus., Beijing, China
fYear
2012
fDate
3-5 Dec. 2012
Firstpage
731
Lastpage
734
Abstract
An integrated method that combines rough set theory and genetic algorithm for rule Extracting is present. It takes full advantages of rough set theory and genetic algorithm. Reduction is done firstly on the basis of rough set theory that is good at processing redundant and inconsistent data. Then genetic algorithm is used to mine rules. Using such a method, simple and reasonable rules can be deduced. The operation procedure is illustrated by an example, and the results show that the algorithm is effective and feasible when applying it to misuse intrusion detection for rule acquisition.
Keywords
data mining; genetic algorithms; rough set theory; security of data; genetic algorithm; inconsistent data; integrated method; misuse intrusion detection; operation procedure; redundant data; rule acquisition; rule extracting method; rule mining; data mining; machine learning; misuse detection; rough set genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4673-0894-6
Type
conf
Filename
6530430
Link To Document