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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Makanju, A. Zincir-Heywood, A.N. Milios, E.E. |
| Copyright Year | 2011 |
| Description | Author affiliation: Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada. B3H 1W5 (Makanju, A.; Zincir-Heywood, A.N.; Milios, E.E.) |
| Abstract | Recent research efforts have highlighted the capability of entropy based approaches in the automatic discovery of alerts in system logs. In this work, we extend this research to present the evaluations of three entropy based approaches on new datasets not utilized in previous papers. We also extend the approach with the introduction of a Cluster Membership Anomaly score. This extension of the approach is intended to reduce the false positive rates required to detect all alerts. Previous work has shown that false positive rates required for the detection of all alerts for an entropy based approach could be very high. The results show that the Cluster Membership Anomaly score has value for the reduction of false positive rates. |
| Starting Page | 626 |
| Ending Page | 629 |
| File Size | 804510 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424492190 |
| e-ISBN | 9781424492213 |
| e-ISBN | 9781424492206 |
| DOI | 10.1109/INM.2011.5990587 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-23 |
| Publisher Place | Ireland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Silicon compounds Lead Tin Modeling and Assessment Algorithms Networked Systems System Management |
| Content Type | Text |
| Resource Type | Article |
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