Information Audit System Based on Fuzzy Neural Networks

Author

Yu Fei ; Zhang Linfeng ; Liao Guiping ; Shen Yue

Author_Institution

Sch. of Comput. & Inf. Eng., Hunan Agric. Univ., Changsha, China

fYear

2006

fDate

7-11 Aug. 2006

Firstpage

1132

Lastpage

1136

Abstract

At intelligent methods for information audit system is hot spot in the field of network security, and application of pattern recognition and data mining in information audit system is world widely concerned and worldwide studying. As an important method of pattern recognition, fuzzy neural network has the capability of self-organization, self-learning and generalization. Application of fuzzy neural network in information audit system can not only identify the known badness information, but also can detect the new badness information and abnormal event.

Keywords

computer networks; data mining; fuzzy neural nets; pattern recognition; security of data; abnormal event detection; bad information detection; data mining; fuzzy neural network; information audit system; pattern recognition; text character; Agricultural engineering; Communication system security; Computer security; Data security; Electronic mail; Fuzzy neural networks; Information processing; Information security; Laboratories; Pattern recognition; Badness Information; Fuzzy Neural Network; Information Audit; Text Character;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2006. CCC 2006. Chinese

Conference_Location

Harbin

Print_ISBN

7-81077-802-1

Type

conf

DOI

10.1109/CHICC.2006.280577

Filename

4060256