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
2Department of Information Systems, St. Cloud State University, MN 56301, USA
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
Original Source Link : http://airccse.org/journal/nsa/1111nsa08.pdf
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