Title :
Higen: an intelligent system for misuse detection
Author :
Chen, Rong ; Gao, Jr ; Hua, Cheng
Author_Institution :
A.I. Inst., Zhejiang Univ., Hangzhou, China
Abstract :
This paper presents an intelligent system for misuse detection. This system consists of three components: data capture and decode component according to CIDF model, data analysis engine component, and data console. We utilize the BP (back-propagation) neural network as misuse detection engine. For improving data capture performance, we integrate libpcap and BPF package. Data console is to show the data alert information with real notification to syslog and show on the screen. This system is implemented on the Linux platform.
Keywords :
Linux; backpropagation; data analysis; knowledge based systems; neural nets; security of data; BP neural network; BPF package; CIDF model; Linux platform; backpropagation; data alert system; data analysis engine component; data capture component; data console; data decode component; intelligent system; libpcap; misuse detection engine; rule based system; syslog file; Artificial neural networks; Computer networks; Decoding; Engines; Expert systems; Intelligent systems; Intrusion detection; Machine learning; Multi-layer neural network; Neural networks;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1378503
