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Title page for etd-0824111-165155


URN etd-0824111-165155 Statistics This thesis had been viewed 1761 times. Download 0 times.
Author Shen-Hsiung Hsieh
Author's Email Address No Public.
Department Information Management
Year 2010 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 100
Title An Expert System for Network Anomaly Diagnosis
Keyword
  • Network Securit
  • Expert System
  • Fault Management
  • Fault Management
  • Expert System
  • Network Securit
  • Abstract As more and more people are using the Internet, networking-related problems are also increasing. We can no longer afford using outdated time-consuming ways to repair all these broken hardware. As a result, we need fast and automatic ways to spot errors. If we can develop an automatic diagnose system for the MIS personnel so they can repair potential problems before they make serious harm, we can save great networking-related costs for the business.
    This research develops a network anomaly diagnosis system using the system log and a rule-based inference mechanism. We collect all user nodes’ anomaly information within the enterprise-wide intranet. This collection of information, combined with the MIS personnel’s repairing logs and system event logs, enable us to create an interactive deductive diagnosis expert system. The end product meets our expectations and also helps MIS personnel to solve questions on time, increase efficiency and reduce their workload.
    Advisor Committee
  • Shing-Han Li - advisor
  • Files indicate not accessible
    Date of Defense 2011-07-26 Date of Submission 2011-08-24


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