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A new similarity measure for the anomaly intrusion detection
Conference proceeding

A new similarity measure for the anomaly intrusion detection

Ahmed Belkhirat, Abdelghani Bouras and Abdelkader Belkhir
NSS: 2009 3RD INTERNATIONAL CONFERENCE ON NETWORK AND SYSTEM SECURITY, pp.431-436
01/01/2009
DOI: https://doi.org/10.1109/NSS.2009.20

Abstract

Computer Science Computer Science, Hardware & Architecture Computer Science, Theory & Methods Engineering Engineering, Electrical & Electronic Science & Technology Technology
This paper introduces a new similarity measure that can be applied for the anomaly intrusion detection by using weighted complete bipartite graphs. The first set of nodes represents users, while the second set depicts the characteristics defining his profile. The weight on each edge is computed from the frequency of appearances of characteristics for a given user. We demonstrate the validity of our measure by fulfilling the set of rules defined for any similarity measure.

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