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  • 标题:Statistical Quality Control Approaches to Network Intrusion Detection
  • 本地全文:下载
  • 作者:Rohitha Goonatilake ; Rafic Bachnak ; Susantha Herath
  • 期刊名称:International Journal of Network Security & Its Applications
  • 印刷版ISSN:0975-2307
  • 电子版ISSN:0974-9330
  • 出版年度:2011
  • 卷号:3
  • 期号:6
  • DOI:10.5121/ijnsa.2011.3608115
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In the study of network intrusion, much attention has been drawn to on-time detection of intrusion to safeguard public and private interest and to capture the law-breakers. Even though various methods have been found in literature, some situations warrant us to determine intrusions of network in real-time to prevent further undue harm to the computer network as and when they occur. This approach helps detect the intrusion and has a greater potential to apprehend the law-breaker. The purpose of this article is to formulate a method to this effect that is based on the statistical quality control techniques widely used in the manufacturing and production processes
  • 关键词:Anomalies; control charts; false alarm; intrusion; network system; and quality control
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