Usage of Modified Holt-Winters Method in the Anomaly Detection of Network Traffic: Case Studies | Zendy

Maciej Szmit | Zendy; Anna Szmit | Zendy

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Usage of Modified Holt-Winters Method in the Anomaly Detection of Network Traffic: Case Studies

Author(s) -

Maciej Szmit,

Anna Szmit

Publication year - 2012

Publication title -

journal of computer networks and communications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.355

H-Index - 23

eISSN - 2090-715X

pISSN - 2090-7141

DOI - 10.1155/2012/192913

Subject(s) - computer science , anomaly detection , data mining , sample (material) , anomaly (physics) , traffic generation model , artificial intelligence , machine learning , real time computing , chemistry , physics , chromatography , condensed matter physics

The traditional Holt-Winters method is used, among others, in behavioural analysis of network traffic for development of adaptive models for various types of traffic in sample computer networks. This paper is devoted to the application of extended versions of these models for development of predicted templates and intruder detection.

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