A Survey on Mobile Malware Detection Techniques

Vasileios KOULIARIDIS  Konstantia BARMPATSALOU  Georgios KAMBOURAKIS  Shuhong CHEN  

IEICE TRANSACTIONS on Information and Systems   Vol.E103-D   No.2   pp.204-211
Publication Date: 2020/02/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2019INI0003
Type of Manuscript: INVITED PAPER (Special Section on Security, Privacy, Anonymity and Trust in Cyberspace Computing and Communications)
smartphones,  mobile malware,  malware detection,  

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Modern mobile devices are equipped with a variety of tools and services, and handle increasing amounts of sensitive information. In the same trend, the number of vulnerabilities exploiting mobile devices are also augmented on a daily basis and, undoubtedly, popular mobile platforms, such as Android and iOS, represent an alluring target for malware writers. While researchers strive to find alternative detection approaches to fight against mobile malware, recent reports exhibit an alarming increase in mobile malware exploiting victims to create revenues, climbing towards a billion-dollar industry. Current approaches to mobile malware analysis and detection cannot always keep up with future malware sophistication [2],[4]. The aim of this work is to provide a structured and comprehensive overview of the latest research on mobile malware detection techniques and pinpoint their benefits and limitations.