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- Title
KOMPIUTERIŲ TINKLO SRAUTO ANOMALIJŲ ATPAŽINIMAS MAKSIMALIOS ENTROPIJOS METODU.
- Authors
Mažeika, Dalius; Jasonis, Saulius
- Abstract
The problem of traffic anomalies in computer networks is analyzed. NetFlow packets are used as network traffic data and maximum entropy methods is used for anomalies detection. Method detects network anomalies by comparing the current network traffic against a baseline distribution. Method is adopted according to NetFow data and performace of the method is improved. Prototype of anomalies detection system was developed and experimental investigation carried out. Results of investigation confirmed that method is sensitive to deviations of the network traffic and can be successfully used for network traffic anomalies detection.
- Subjects
COMPUTER networks; MAXIMUM entropy method; ANOMALY detection (Computer security); ENTROPY (Information theory); THEORY of distributions (Functional analysis); PERFORMANCE evaluation
- Publication
Science: Future of Lithuania / Mokslas: Lietuvos Ateitis, 2014, Vol 6, Issue 2, p162
- ISSN
2029-2341
- Publication type
Article
- DOI
10.3846/mla.2014.22