A soft computing approach for benign and malicious web robot detection

•We propose a method called SMART (Soft computing for MAlicious RoboT detection).•The method detects benign and malicious robots, and human visitors to a web server.•SMART selects its features on a particular web server by fuzzy rough set theory.•A graph-based clustering algorithm classifies session...

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Vydané v:	Expert systems with applications Ročník 87; s. 129 - 140
Hlavní autori:	Zabihimayvan, Mahdieh, Sadeghi, Reza, Rude, H. Nathan, Doran, Derek
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 30.11.2017 Elsevier BV
Predmet:	Automation Clustering Cybersecurity File servers Fuzzy Rough Set Theory Heuristic methods Intrusion detection systems Malicious web agents Markov clustering algorithm Privacy Robots Set theory Soft computing State of the art Traffic information Web crawler Web Robot Detection Web Robot Detection Web crawler Fuzzy Rough Set Theory Malicious web agents Markov clustering algorithm
ISSN:	0957-4174, 1873-6793
On-line prístup:	Získať plný text
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