Session Title | Comparative Analysis of Android Tools and Techniques for Detection of Contemporary Malwares
Android has become ubiquitous by capturing more than 86% of market share. This rapid growth has created unprecedented challenges that include cyber-attacks, a large number of which include malware specially designed for Android devices. As today’s malware are extremely advanced, they are capable of evading even the state-of-the-art detection approaches through techniques such as obfuscation and packing. To perceive the strength of contemporary anti-malware tools, a comprehensive evaluation is needed. In this survey, we present an in-depth analysis of different tools and techniques which are being used for Android malware detection developed during the past six years which are: between 2014 and 2019. Our survey of the malware detection tools and techniques is categorized based on four different detection techniques which are static, dynamic, hybrid, and Artificial Intelligence. Further, the discovered limitations based on the carried out analysis have also been discussed. Finally, the research gap has been identified.
"Experienced Software Engineer and Cybersecurity professional with a demonstrated history of working in the Research & Development/Cyber industry. Skilled in Malware Analysis, Malware Development, Python (Programming Language), Agile Environment, C++, Android, and Java. Strong engineering professional with a Certified Ethical Hacker focused on Security Essentials from EC-Council.