A Rule Based Approach to Network Fault and Security Diagnosis with Agent Collaboration

Abstract

AbstractThis 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.KeywordsFault DetectionFault DiagnosisNetwork FaultFault Diagnosis SystemAgent CollaborationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.