Meta-SonifiedDroid: Metaheuristics for Optimizing Sonified Android Malware Detection

To mitigate the rising threat of Android malware, researchers have been actively looking for mechanisms that will enable rapid and accurate malware detection. Recently, attention has been paid to the use of audio-based features derived through the use of music information retrieval techniques. Since...

詳細記述

書誌詳細

主要な著者:	Paul Tarwireyi, Alfredo Terzoli, Matthew O. Adigun
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2024-01-01
シリーズ:	IEEE Access
主題:	Sonification audio-based features android malware detection feature selection metaheuristic optimization genetic algorithm (GA)
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10559579/
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