원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.10 No.8
2016.08
pp.435-446
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
With the rapid development of the Internet, especially the development of mobile Internet, network size and network infrastructure changes, especially the more random access node to detect network attacks challenges traditional detection algorithm using neural networks, so that the calculated volume increased dramatically, and will detection accuracy is not high, for this problem, we use the stochastic process theory hidden Markov chain transformation neural network, so that the convergence of a substantial decline, while improving network attack detection accuracy degree.
목차
Abstract
1. Introduction
2. Related Works
2.1. Intrusion Detection
2.2. Stochastic Model Theory of Artificial Intelligence
2.3. The Neural Network Theory
3. Based on Hidden Markov Model and Neural Network Intrusion Detection Model
4. The Model and the Analysis of Experimental Results
4.1. The Model
4.2. Experimental Analysis
5. Conclusion
6. Fund Support (1)(2)
References
1. Introduction
2. Related Works
2.1. Intrusion Detection
2.2. Stochastic Model Theory of Artificial Intelligence
2.3. The Neural Network Theory
3. Based on Hidden Markov Model and Neural Network Intrusion Detection Model
4. The Model and the Analysis of Experimental Results
4.1. The Model
4.2. Experimental Analysis
5. Conclusion
6. Fund Support (1)(2)
References
저자정보
참고문헌
자료제공 : 네이버학술정보