FedDroidMeter: A Privacy Risk Evaluator for FL-Based Android Malware Classification Systems. [PDF]
Entropy (Basel), 2023 Jiang C, Xia C, Liu Z, Wang T.
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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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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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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 of Static Analysis Technology Based on Data Mining
, 2017 Peng Chen +4 more
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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 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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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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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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