Reliability Theory Application of Bipolar Network in Monitoring and Detecting Network Intrusion
Main Article Content
Abstract
Today the rapid and widespread development of computer networks and computer network environments brings many risks and threats to network security that cause loss or change data of information systems. Security attacks that change the state and components of the system will leave traces, so tracking for network security attacks is of interest. Depending on the monitoring environment and the protocols used to transmit information between network nodes, tracking of network security attacks is done in different ways. Network security attacks affect the communication of information between network nodes, changing the dynamic relationship between network nodes and their reliability. The problem of evaluating internal network reliability to trace network intrusion detection is given and resolved in this article.
Keywords
Bipolar network, detecting network, theory application
Article Details
References
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[4] V.Stavridou, B.Duttertre, R.A.Riemenschneider, and H Saidi Intrusion tolerant software architectures, DARPA Information Survivability Conference & Exposition II, DISCEX ’01., volume 2, pages 230-241, Anaheim, CA, USA, 2001.
[5] B. Mukherjee, L. T. Heberlein, and K. N. Levitt, Network intrusion detection, Network, IEEE, vol. 8, no. 3, pp. 26-41,1994.
[6] J. Z. Lei and Ali Ghorbani, Network intrusion detection using an improved competitive learning neuralnetwork, in Proceedings of the Second Annual Conference on Communication Networks and Services Research (CNSR’04), pp. 190–197.IEEE-Computer Society, IEEE, May 2004.
[7] Deepika P Vinchurkar and Alpa Reshamwala,A Review of Intrusion Detection System Using Neural Network and Machine Learning Technique, International Journal of Engineering Science and Innovative Technology (IJESIT), Volume 1, Issue 2, November 2012.
[8] P.G. Watkins and F.H. Knight, Risk Uncertainty and Profit Knight, Q. J. Econ., vol. 36, no. 4, p. 682, 1922.