This project aims at developing a set of automated Android Malware vetting tools to discover all the malicious behaviors of Android Malwares in the forms of files in the local storage, SQLite database, or data sent to remote 3-party server(s). to establish a dictionary-like Android malware database that includes malware themselves (malicious code and variant) with all the detected IP addresses, URLs and malicious behaviors as well as other types of evidence data(e.g., the list of permissions required).
A Forensic Analysis of Joker-Enabled Android Malware Apps
Conference/Workshop:
American Association of Forensic Sciences (AAFS)
American Association of Forensic Sciences (AAFS)
Published: 2021
Primary Author: Chen Shi
Secondary Authors: Chris Cheng, Yong Guan
Type: Presentation Slides
Research Area: Digital
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