Genetic Programming Based Network Traffic-Profiling System
Abstract
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).
Downloads
Published
How to Cite
Issue
Section
License
The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.
By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.