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- Title
Anomaly Detection Aiming Pro-Active Management of Computer Network Based on Digital Signature of Network Segment.
- Authors
Zarpelão, Bruno Bogaz; de Souza Mendes, Leonardo; Proença Jr., Mario Lemes
- Abstract
Detecting anomalies accurately is fundamental to rapid diagnosis and repair of problems. This paper proposes a novel Anomaly detection system based on the comparison of real traffic and DSNS (Digital Signature of Network Segment), generated by BLGBA (Baseline for Automatic Backbone Management) model, within a hysteresis interval using the residual mean and on the correlation of the detected deviations. Extensive experimental results on real network servers confirmed that our system is able to detect anomalies on the monitored devices, avoiding the high false alarms rate.
- Subjects
COMPUTER network security; ERROR analysis in mathematics; DIGITAL signatures; DATA encryption; LOCAL area networks; SCALABILITY; ENTERPRISEWIDE computing; INTERNETWORKING devices; TIME-sharing computer systems; NETWORK PC (Computer)
- Publication
Journal of Network & Systems Management, 2007, Vol 15, Issue 2, p267
- ISSN
1064-7570
- Publication type
Article
- DOI
10.1007/s10922-007-9064-y