2024
DOI: 10.11591/eei.v13i4.6974
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An intelligent obfuscated mobile malware detection using deep supervised learning algorithms

Padmavathi Ganapathi,
Roshni Arumugam,
Shanmugapriya Dhathathri

Abstract: Obfuscated mobile malware (OMM) is a malicious software in mobile that hides to avoid detection and annihilation. These types of malwares are thorny to identify due to their inevitable nature. Deep learning (DL) algorithms are the most desirable to detect obfuscated malware based on the ‘n’ number of iterations with adjustable weights and neurons. This study investigates the accurate detection of OMM using significant DL algorithms such as multi-layer perceptron (MLP), self-organizing maps (SOM), long short-te… Show more

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