Detection of SMS mobile malware
Seungyong Yoon, Jeong‐Nyeo Kim, Hyun-Sook Cho · 2014
This paper relates to mobile malware detection for prevention against financial charge caused by the malicious behavior using SMS. In this paper, we propose the method that conducts malicious behavior monitoring and various analysis techniques to detect the attack. This method includes malware installation check, SMS sending and receiving analysis, and signature-based pattern matching. Therefore, we can effectively respond against SMS mobile malware attacks.