BarkDroid: Android Malware Detection Using Bark Frequency Cepstral Coefficients

نویسندگان

چکیده

Since their inaugural releases in 2007, Google’s Android and Apple’s iOS have grown to dominate the mobile OS market share. Currently, they jointly possess over 99% of global share with being leading Operating System choice worldwide, controlling close 70% Mobile devices enabled exponential growth a plethora applications that play key roles enabling many use cases are pivotal our daily lives. On other hand, access large pool potential end users is available both legitimate nefarious applications, thus making burgeoning target malicious applications. Current malware detection solutions rely on tedious, time-consuming, knowledge-based, manual processes identify malware. This paper presents BarkDroid, novel technique uses low-level Bark Frequency Cepstral Coefficients audio features detect The results obtained outperform using same datasets. BarkDroid achieved 97.9% accuracy, 98.5% precision, an F1 score 98.6%, shorter execution times.

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ژورنال

عنوان ژورنال: Indonesian Journal of Information Systems

سال: 2022

ISSN: ['2623-0119', '2623-2308']

DOI: https://doi.org/10.24002/ijis.v5i1.6266