Static Analysis of Mobile Malwares

Profile

Meenakshi Tripathi is an Associate Professor in the department of computer science and engineering at MNIT Jaipur. She received her Ph.D. degree in Computer Science and Engineering from the MNIT in 2015 . She has more than 12 years of teaching experience in computer science and information security. She has published more than 50 research articles in leading journals, conference proceedings and books including IEEE Transactions, IJCS, Computer networks, journal of supercomputing etc.. Under her guidance 3 students have already awarded their Ph.D. degree and 5 more are working with her. She has supervised around 20 PG students and more than 40 UG students for their project work. She holds several professional designations including Dean at Rajasthan Skilled University Jaipur, BoS member of university of Kota etc. She is a senior member of IEEE, member of ACM and lifelong member of CSI. Her research interests include wireless security, wireless sensor networks, IoT, Software Defined Networks etc.

Abstract

Mobile phones are nowadays used for almost everything in our daily lives. There are numerous mobile platforms available and the most popular are iOS and Android. Google android is leading the mobile OS market share with a 71.93% share in Jan 2021. Android applications pervade all user activities and unfortunately, malicious users can also use these applications to steal information, user credentials and commit fraud.

This talk will describe how the Andorid malware analysis is performed. I will introduce some of the most severe malware categories, static and dynamic analysis considerations that a researcher need to keep in mind while analyzing Android apps, and common obfuscation challenges that need to be resolved in order to produce evidence that an app's behavior is affecting users and violating Google application safety policies.