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In this paper, the Android OS environment, feature selection, classification models, and confronted challenges of machine learning detection are described in ...
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This research has extensively explored various state of the art techniques and mechanisms to detect malwares in Android applications by systematic literature ...
In this paper, the Android OS environment, feature selection, classification models, and confronted challenges of machine learning detection are described in ...
Jun 19, 2024 · For the algorithms of the malware classification, machine learning methods are categorized according to different standards to present an all- ...
Jun 16, 2020 · Abstract: Android malware has been in an increasing trend in recent years due to the pervasiveness of Android operating system.
In order to improve the efficiency of malware detection, this paper proposes deep learning Android malicious detection system based on behavior features. First ...
Aug 19, 2022 · This paper aims to provide a systematic review of the malware detection techniques used for android devices.
This paper provides a systematic review of ML-based Android malware detection techniques and critically evaluates 106 carefully selected articles.
Oct 25, 2023 · This paper presents a quick understanding and a holistic view of malware detection and analysis. The current investigation conducted a systematic literature ...
Jul 2, 2022 · In this paper a systematic review has been carried out on the relevant studies from 2017 to 2020. Assessment of the malware detection capabilities of various ...