PermQRDroid: Android malware detection with novel attention layered mini-ResNet architecture over effective permission information image.

ABSTRACT:

Background

The Android operating system holds the vast majority of the market share in smart device usage worldwide. The Android operating system, which is of interest to users, is increasing its usage rate day by day due to its open source nature and free applications. Applications can be installed on the Android operating system from official application markets and unofficial third-party environments, which poses a great risk to users' privacy and security.

Methods

In this study, an attention-layered mini-ResNet model is proposed, which can detect QR code-like images created using the 100 most effective defined permission information of Android applications. In the proposed method, permission information is obtained from four different datasets with different number of ap

SUBMITTER: Kılıc K 

PROVIDER: S-EPMC11623236 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature