Android malware classification based on random vector functional link and artificial Jellyfish Search optimizer

Smartphone usage is nearly ubiquitous worldwide, and Android provides the leading open-source operating system, retaining the most significant market share and active user population of all open-source operating systems. Hence, malicious actors target the Android operating system to capitalize on th...

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Vydané v:	PloS one Ročník 16; číslo 11; s. e0260232
Hlavní autori:	Elkabbash, Emad T., Mostafa, Reham R., Barakat, Sherif I.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 19.11.2021 Public Library of Science (PLoS)
Predmet:	Accuracy Algorithms Analysis Application programming interface Benchmarking - methods Biology and Life Sciences Business metrics Classification Computer and Information Sciences Computer Security Detectors Engineering and Technology Evaluation Feature selection Heuristic methods Identification and classification Information science Information systems Learning algorithms Machine Learning Malware Market shares Methyltestosterone Mobile operating systems Operating systems Optimization Performance measurement Physical Sciences Research and Analysis Methods Smartphone - instrumentation Smartphones Software Source code Spyware Theft Egypt
ISSN:	1932-6203, 1932-6203
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