AndroDex: Android Dex Images of Obfuscated Malware.

ABSTRACT: With the emergence of technology and the usage of a large number of smart devices, cyber threats are increasing. Therefore, research studies have shifted their attention to detecting Android malware in recent years. As a result, a reliable and large-scale malware dataset is essential to build effective malware classifiers. In this paper, we have created AndroDex: an Android malware dataset containing a total of 24,746 samples that belong to more than 180 malware families. These samples are based on .dex images that truly reflect the characteristics of malware. To construct this dataset, we first downloaded the APKs of the malware, applied obfuscation techniques, and then converted them into images. We believe this dataset will significantly enhance a series of research studies, including A

SUBMITTER: Aurangzeb S 

PROVIDER: S-EPMC10873337 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature