AMDDLmodel: Android smartphones malware detection using deep learning model.

ABSTRACT: Android is the most popular operating system of the latest mobile smart devices. With this operating system, many Android applications have been developed and become an essential part of our daily lives. Unfortunately, different kinds of Android malware have also been generated with these applications' endless stream and somehow installed during the API calls, permission granted and extra packages installation and badly affected the system security rules to harm the system. Therefore, it is compulsory to detect and classify the android malware to save the user's privacy to avoid maximum damages. Many research has already been developed on the different techniques related to android malware detection and classification. In this work, we present AMDDLmodel a deep learning technique that cons

SUBMITTER: Aamir M 

PROVIDER: S-EPMC10798489 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature