Recent Advances in Android Mobile Malware Detection: A Systematic Literature Review

In recent years, the global pervasiveness of smartphones has prompted the development of millions of free and commercially available applications. These applications allow users to perform various activities, such as communicating, gaming, and completing financial and educational tasks. These common...

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Autor principal:	Abdulaziz Alzubaidi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Smartphone intrusion detection mobile malware android devices machine learning Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/a5f76719b79e42b6b86a5a85e9983e60
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spelling	oai:doaj.org-article:a5f76719b79e42b6b86a5a85e9983e602021-11-09T00:00:47ZRecent Advances in Android Mobile Malware Detection: A Systematic Literature Review2169-353610.1109/ACCESS.2021.3123187https://doaj.org/article/a5f76719b79e42b6b86a5a85e9983e602021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9585476/https://doaj.org/toc/2169-3536In recent years, the global pervasiveness of smartphones has prompted the development of millions of free and commercially available applications. These applications allow users to perform various activities, such as communicating, gaming, and completing financial and educational tasks. These commonly used devices often store sensitive private information and, consequently, have been increasingly targeted by harmful malicious software. This paper focuses on the concepts and risks associated with malware, and reviews current approaches and mechanisms used to detect malware with respect to their methodology, associated datasets, and evaluation metrics.Abdulaziz AlzubaidiIEEEarticleSmartphoneintrusion detectionmobile malwareandroid devicesmachine learningElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 146318-146349 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Smartphone intrusion detection mobile malware android devices machine learning Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Smartphone intrusion detection mobile malware android devices machine learning Electrical engineering. Electronics. Nuclear engineering TK1-9971 Abdulaziz Alzubaidi Recent Advances in Android Mobile Malware Detection: A Systematic Literature Review
description	In recent years, the global pervasiveness of smartphones has prompted the development of millions of free and commercially available applications. These applications allow users to perform various activities, such as communicating, gaming, and completing financial and educational tasks. These commonly used devices often store sensitive private information and, consequently, have been increasingly targeted by harmful malicious software. This paper focuses on the concepts and risks associated with malware, and reviews current approaches and mechanisms used to detect malware with respect to their methodology, associated datasets, and evaluation metrics.
format	article
author	Abdulaziz Alzubaidi
author_facet	Abdulaziz Alzubaidi
author_sort	Abdulaziz Alzubaidi
title	Recent Advances in Android Mobile Malware Detection: A Systematic Literature Review
title_short	Recent Advances in Android Mobile Malware Detection: A Systematic Literature Review
title_full	Recent Advances in Android Mobile Malware Detection: A Systematic Literature Review
title_fullStr	Recent Advances in Android Mobile Malware Detection: A Systematic Literature Review
title_full_unstemmed	Recent Advances in Android Mobile Malware Detection: A Systematic Literature Review
title_sort	recent advances in android mobile malware detection: a systematic literature review
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/a5f76719b79e42b6b86a5a85e9983e60
work_keys_str_mv	AT abdulazizalzubaidi recentadvancesinandroidmobilemalwaredetectionasystematicliteraturereview
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Recent Advances in Android Mobile Malware Detection: A Systematic Literature Review

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