Systematic analysis of Research Trends, Methods and Datasets in Mobile Device Security

Abstract

The threats, necessities, and rules of security have all changed in the age of mobile devices. Academic and commercial attention has recently been drawn to the problem of authentication for mobile communications networks. It's becoming more popular to study mobile security. This work uses a method called a systematic review to assess, understand, and discover all relevant research resources that could help address the research topic at hand. This review was executed in three steps: (1) deciding on a data source and search string; (2) selecting relevant studies; and (3) summarizing the review's findings. Identifying malware and intrusions, cryptography, authentication, and data breaches are the four main areas of concentration in contemporary Mobile Device Security research. Artificial intelligence might be considered the most widely utilized and experienced of the four approaches. Sixty-six point one percent of studies used open data while thirty-nine point nine percent used proprietary data. This study's findings have implications for both theory and practice, and they may inform future investigations and system designs pertaining to mobile device safety..