Visible to the public Android gaming malware detection using system call analysis

TitleAndroid gaming malware detection using system call analysis
Publication TypeConference Paper
Year of Publication2018
AuthorsJaiswal, M., Malik, Y., Jaafar, F.
Conference Name2018 6th International Symposium on Digital Forensic and Security (ISDFS)
KeywordsAndroid (operating system), Android Gaming Malware, Android gaming malware detection system, Android operating systems, Androids, benign game system calls, Cloning, cloning applications, composability, computer games, detection system, dynamic analysis, Games, Humanoid robots, invasive software, malicious games, malicious gaming applications, Malware, malware game system calls, Metrics, mobile computing, Monitoring, Operating Systems Security, program diagnostics, pubcrawl, resilience, Resiliency, smart phones, system call analysis
AbstractAndroid operating systems have become a prime target for attackers as most of the market is currently dominated by Android users. The situation gets worse when users unknowingly download or sideload cloning applications, especially gaming applications that look like benign games. In this paper, we present, a dynamic Android gaming malware detection system based on system call analysis to classify malicious and legitimate games. We performed the dynamic system call analysis on normal and malicious gaming applications while applications are in execution state. Our analysis reveals the similarities and differences between benign and malware game system calls and shows how dynamically analyzing the behavior of malicious activity through system calls during runtime makes it easier and is more effective to detect malicious applications. Experimental analysis and results shows the efficiency and effectiveness of our approach.
Citation Keyjaiswal_android_2018