Title :
Research and Design of a New Intrusion Detection System Model
Author :
Wang, Diangang ; Ying, Zegui ; Guo, Hong ; Peng, Xiaoqiang
Author_Institution :
Sichuan Electr. Vocational & Tech. Coll., Chengdu, China
Abstract :
In recent years, computer and network techniques have developed rapidly and network has influenced various aspects of our lives ubiquitously and become the guarantee of social development. People also face all kinds of security problems when obtaining information knowledge conveniently. This paper mainly studies a distributed intrusion detection system model and introduces the influence of different data storage modes on detection algorithms. Finally, it puts forward different detection algorithms according to different storage modes and improved schemes aimed at traditional detection algorithms.
Keywords :
security of data; computer-network techniques; data storage modes; distributed intrusion detection system; information knowledge; social development; Brain modeling; Clustering algorithms; Computational modeling; Computer networks; Counting circuits; Data security; Detection algorithms; Distributed databases; Intrusion detection; Principal component analysis; intrusion detection; neural network; storage algorithm;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.339
