Malware Detection Using Data Mining

Abstract

In the digital world, everything is getting digitalized. Mobile devices, such as smartphones and handsets, are becoming increasingly popular, increasing criminals' appeal as targets for mobile malware. Consequently, in order to properly identify mobile malware, an antimalware detector plays a significant role. Prior to this, we concentrated on developing a behavioural analysis based on an ontology. To learn more about mobile malware, to assist end users in using their mobile phones, malware is available. By expanding on the work presented in this publication and utilizing the suggested ontology-based approach, a detection tool for behavioral analysis of mobile malware can be created. This study is expected to contribute to aid in the development of detecting techniques for unidentified smartphone malware in mobile situations.