Genetic Programming Based Network Traffic-Profiling System
Electronics and Electrical Engineering 2009
Mārtiņš Ekmanis

A new approach is proposed for unattended grouping of traffic sources. This is GA based search technique, which use finite state machine as a genetic representation of solution domain. Models approximate multi host communication in relation to host under research. They describe traffic source behavior handling event sequence with internal loops and provide similar traffic source grouping. The proof of concept implementation shows potential capability to detect network anomalies and sources of unwanted traffic. Ill. 7, bibl. 8 (in English; summaries in English, Russian and Lithuanian).


Keywords
Traffic profiling, Genetic algorithm, Unwanted traffic
Hyperlink
http://eejournal.ktu.lt/index.php/elt/article/view/10237

Ekmanis, M. Genetic Programming Based Network Traffic-Profiling System. Electronics and Electrical Engineering, 2009, Vol. 92, No. 4, pp.49-52. ISSN 1392-1215. e-ISSN 2029-5731.

Publication language
English (en)
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