Using Dalvik opcodes for malware detection on android [PDF]
, 2017 José Gaviria de la Puerta, Borja Sanz
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Android malware dataset construction methodology to minimize bias–variance tradeoff
, 2021 Shinho Lee +4 more
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Androfim: few-shot android malware family detection based on image representation
CybersecurityAndroid malware is the major cyber threat to the popular Android platform which may influence millions of end users. To battle against the Android malware, a large number of machine learning methods either based on 1) traditional feature extraction using
Fan Zhou +4 more
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A Modified ResNeXt for Android Malware Identification and Classification. [PDF]
Comput Intell Neurosci, 2022 Albahar MA, ElSayed MS, Jurcut A.
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Enhancing malware detection in Android application by incorporating broadcast receivers
, 2021 Rachael Havens +3 more
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An Android Malware Detection Approach to Enhance Node Feature Differences in a Function Call Graph Based on GCNs. [PDF]
Sensors (Basel), 2023 Wu H, Luktarhan N, Tian G, Song Y.
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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.
europepmc +1 more source
On the evaluation of android malware detectors against code-obfuscation techniques. [PDF]
PeerJ Comput Sci, 2022 Nawaz U, Aleem M, Lin JC.
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Android Malware Classification Using Deep Learning CNN with Co-occurrence Matrix Feature [PDF]
, 2021 Le Duc Thuan +2 more
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