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Malware Detection in Android Systems with Traditional Machine Learning Models: A Survey
(IEEE, 2020)
Due to the increased number of mobile devices,
they are integrated in every dimension of our daily life. To
execute some sophisticated programs, a capable operating must
be set up on them. Undoubtedly, Android is the ...
Neural Network Based Android Malware Detection with Different IP Coding Methods
(IEEE, 2021)
Due to the COVID-19 epidemic that has affected the
whole world, internet use has increased more than in previous
years. Almost all operations and transactions are done over the
internet, especially with the use of ...
Protecting Android Devices from Malware Attacks: A State-of-the-Art Report of Concepts, Modern Learning Models and Challenges
(IEEE, 2023)
Advancements in microelectronics have increased the popularity of mobile devices like
cellphones, tablets, e-readers, and PDAs. Android, with its open-source platform, broad device support,
customizability, and integration ...