Statistical Quality Control Approaches To Network Intrusion Detection.

Rohitha Goonatilake1, Rafic Bachnak1, And Susantha Herath2

1Department of Engineering, Mathematics, and Physics

Texas A&M International University, TX 78041, USA

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2Department of Information Systems, St. Cloud State University, MN 56301, USA

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ABSTRACT

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.

KEYWORDS

Anomalies, control charts, false alarm, intrusion, network system, and quality control