A Survey on Mobile Malware Detection Techniques

• Published in: IEICE Transactions on Information and Systems Vol. E103.D; no. 2; pp. 204 - 211
• Main Authors: KAMBOURAKIS, Georgios, KOULIARIDIS, Vasileios, CHEN, Shuhong, BARMPATSALOU, Konstantia
• Format: Journal Article
• Language: English
• Published: Tokyo The Institute of Electronics, Information and Communication Engineers 01.02.2020; Japan Science and Technology Agency
• Subjects: Electronic devices; Malware; malware detection; mobile malware; smartphones
• ISSN: 0916-8532; 1745-1361
• DOI: 10.1587/transinf.2019INI0003

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.