Abstract
This paper introduces rule-based reasoning (RBR) Expert System for network fault and security diagnosis and a mechanism for optimization. In this system, we use agent collaboration mechanism which is the process that the system gathers network environment data from distributed agent. Collaboration mechanism make accurate diagnosis by making inferences based on the results of various tests and measurements. Additionally, we consider optimization of the system. In some comprehensive systems like network fault diagnosis system or system using decisive loops reasoning, so much more studies on its reasoning time are necessary. So we consider reasoning time and rule probability to optimize the system. For our purpose, rule reasoning time estimation algorithm will be used, with the simulation, where a comparison with the previous rule-based fault diagnosis system is possible.
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References
Sugawara, T.: Acooperative LAN diagnosistic and observation expert system, computers and communications. In: Proceeding of the Ninth Annual International Phoenix Conference, pp. 667–674 (1990)
Jang, Y., Ahn, S., Chung, J.W.: RBR Based Network Fault Detection and Recovery System using Agent Collaboration. In: Kahng, H.-K. (ed.) ICOIN 2003. LNCS, vol. 2662. Springer, Heidelberg (2003)
Cho, K.J., Ahn, S., Chung, J.W.: RBR Based Network Configuration Fault Diagnosis Algorithm using Agent Collaboration, Thesis of master’s course, Sung-kyunkwan Univ.
Cho, K.H., Ahn, S., Chung, J.W.: Rule-based Agent system for Fault Detection and Location on LAN. In: KIPS, vol. 7, pp. 2169–2178 (2000)
Hwang, T., Ahn, S., Chung, J.W.: Design and Implementation of Rule-Based Network Configuration Fault Management System, Thesis of master’s course, Sungkyunk-wan Univ.
Zheng, S.Q., Sun, M.: Constructing Optimal Search Trees in Optimal Time. IEEE Transactions on Computers 48(7), 738–748 (1999)
Kato, K.: IEEE Transactions on Persistently Cashed B-trees 15(3), 706–720 (2003)
Aihuam, P., Chuntu, L.: Real Time Analysis on Expert Systems. In: Proceeding of the 3rd World Congress on Intelligent Control and Automation (2000)
Yun, J.-M., Ahn, S.-J., Chung, J.-W.: Web Server Fault Diagnosis and Recovery Mechanism Using INBANCA, pp. 2467–2504 (2000)
Ohta, K., Mori, T., Kato, N., Sone, H., Mansfield, G., Nemoto, Y.: Divideand Conquer Technique for Network Fault Management. In: Proceedings of ISINM 1997 (1997)
Ohta, K., Mori, T., Kato, N., Sone, H., Mansfield, G., Nemoto, Y.: Divide and Conguer Technique for Network Fault Management. In: Proceedings of ISINM 1997 (1997)
Hwang, T., Ahn, S., Chung, J.W.: A study on the rules and algorithm for the diagnosis and recovery of routing configuration. In: SCI 2000, World Multiconference on Systemics, Cybernetics and Informatics, vol. 4, pp. 137–141 (2000)
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Kim, S. et al. (2005). A Rule Based Approach to Network Fault and Security Diagnosis with Agent Collaboration. In: Kim, T.G. (eds) Artificial Intelligence and Simulation. AIS 2004. Lecture Notes in Computer Science(), vol 3397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30583-5_63
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DOI: https://doi.org/10.1007/978-3-540-30583-5_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24476-9
Online ISBN: 978-3-540-30583-5
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