Open AccessA MACHINE LEARNING CLASSIFICATION APPROACH TO DETECT TLS-BASED MALWARE USING ENTROPY-BASED FLOW SET FEATURES
Author(s) -
Kinan Keshkeh,
Aman Jantan,
Kamal Alieyan
Publication year - 2022
Publication title -
journal of information and communication technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.217
H-Index - 10
eISSN - 2180-3862
pISSN - 1675-414X
DOI - 10.32890/jict2022.21.3.1
Subject(s) - computer science , malware , artificial intelligence , support vector machine , naive bayes classifier , data mining , outlier , ransomware , entropy (arrow of time) , feature (linguistics) , machine learning , random forest , precision and recall , feature extraction , anomaly detection , pattern recognition (psychology) , computer security , linguistics , philosophy , physics , quantum mechanics
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