Journal
FIRST INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR COMPUTATIONAL INTELLIGENCE
Volume 1045, Issue -, Pages 637-643Publisher
SPRINGER-VERLAG SINGAPORE PTE LTD
DOI: 10.1007/978-981-15-0029-9_50
Keywords
Machine learning; Random forest; Decision tree
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In the network communications, network interruption is the most vital concern these days. The expanding event of the system assaults is a staggering issue for system administrations. Different research works are now directed to locate a successful and productive answer for forestall interruption in the system so as to guarantee to arrange security and protection. Machine learning is a successful investigation device to identify any irregular occasions happened in the system traffic stream. In this paper, a mix of the decision tree and random forest algorithms is proposed to order any strange conduct in the system traffic.
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