Android Malware Classification and Optimisation Based on BM25 Score of Android API
, 2023 Rahul Yumlembam +3 more
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Novel Multi-Classification Dynamic Detection Model for Android Malware Based on Improved Zebra Optimization Algorithm and LightGBM. [PDF]
Sensors (Basel)Zhou S, Li H, Fu X, Han D, He X.
europepmc +1 more source
PermQRDroid: Android malware detection with novel attention layered mini-ResNet architecture over effective permission information image. [PDF]
PeerJ Comput SciKılıç K, Doğru İA, Toklu S.
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The Concept Drift Problem in Android Malware Detection and Its Solution [PDF]
, 2017 Donghui Hu +5 more
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PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection. [PDF]
Sci RepMahindru A +6 more
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Malware Detection Using Machine Learning Algorithms and Reverse Engineering of Android Java Code
, 2019 Micha Kedziora +3 more
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Semi-supervised classification for dynamic Android malware detection [PDF]
, 2017 Li Chen +3 more
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ANDRIK: Automated Android malware analysis
, 2017 La indústria del delicte cibernètic està millorant i expandint-se ràpidament. Els banquers trojans no només afecten als ordinadors sinó que s'estan estenent a altres plataformes. En aquest cas concret, Blueliv, un proveïdor d'intel·ligència d'amenaces cibernètiques, vol millorar les seves capacitats per detectar aquestes amenaces i mitigar-les.
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