Data-driven android malware intelligence : a survey
, 2019 Android has dominated the smartphone market and become the most popular mobile operating system. This rapidly increasing market share of Android has contributed to the boom of Android malware in numbers and in varieties. There exist many techniques which
Surya Nepal (9558705) +6 more
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Malware in the Mobile Device Android Environment [PDF]
, 2016 Consequent to the world wide increase of smartphone use, the incidence of malware developed to exploit smartphone operating systems has exponentially expanded.
Walker, Andrew, Hintea, Diana, Bird, Bob
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Android malware detection method based on highly distinguishable static features and DenseNet. [PDF]
PLoS One, 2022 Yang J, Zhang Z, Zhang H, Fan J.
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Advanced Android Malware Analysis
, 2015 With the ever increasing development of software, mobile malware has also become increasingly sophisticated. Obfuscation is now becoming obsolete and being replaced by run-time packers in which mobile malware is protected.
Éliás, Tibor
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Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism. [PDF]
Sci Rep, 2023 Aurangzeb S, Aleem M.
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Analysis and Classification of Android Malware
, 2016 With the integration of mobile devices into our daily lives, smartphones are privy to increasing amounts of sensitive information. As of 2016, Android is the leading smartphone in popularity with sophisticated mobile malware targeting its data and ...
Tam, Kimberly
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Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning. [PDF]
Sensors (Basel), 2022 Krzysztoń M, Bok B, Lew M, Sikora A.
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MFDroid: A Stacking Ensemble Learning Framework for Android Malware Detection. [PDF]
Sensors (Basel), 2022 Wang X, Zhang L, Zhao K, Ding X, Yu M.
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Convolution neural network with batch normalization and inception-residual modules for Android malware classification. [PDF]
Sci Rep, 2022 Liu T, Zhang H, Long H, Shi J, Yao Y.
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FG-Droid: Grouping based feature size reduction for Android malware detection. [PDF]
PeerJ Comput Sci, 2022 Arslan RS.
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