Title :
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
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;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280577
