Very Fast Intrusion Detection by Multivariate Linear Regression
نویسنده
چکیده
Multivariate regression is used in a wide variety of fields as a modeling and classification tool. In this paper we investigate its potential as means of intrusion detection. We demonstrate that intrusion detectors constructed by multivariate linear regression can achieve high accuracy with very short training and testing times, and conclude with a discussion of future research directions.
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