A Dynamic DL-Driven Architecture to Combat Sophisticated Android Malware

A Dynamic DL-Driven Architecture to Combat Sophisticated Android Malware

The predominant Android operating system has captured enormous attention globally not only in smart phone industry but also for varied smart devices. The open architecture and application programming interfaces (APIs) while hosting third party applications has led to explosive growth of varied perva...

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Bibliographic Details
Main Authors: Iram Bibi, Adnan Akhunzada, Jahanzaib Malik, Javed Iqbal, Arslan Musaddiq, Sungwon Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Android malware
deep learning
recurrent neural network
convolutional neural network
deep neural network
mobile security
Online Access:https://ieeexplore.ieee.org/document/9142180/

Internet

https://ieeexplore.ieee.org/document/9142180/

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