Deep Learning Based Android Anomaly Detection Using a Combination of Vulnerabilities Dataset

Deep Learning Based Android Anomaly Detection Using a Combination of Vulnerabilities Dataset

As the leading mobile phone operating system, Android is an attractive target for malicious applications trying to exploit the system’s security vulnerabilities. Although several approaches have been proposed in the research literature for the detection of Android malwares, many of them suffer from...

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Bibliographic Details
Main Authors: Zakeya Namrud, Sègla Kpodjedo, Chamseddine Talhi, Ahmed Bali, Alvine Boaye Belle
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
android security
deep neural network
machine learning
support vector machine
Online Access:https://www.mdpi.com/2076-3417/11/16/7538

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