Title :
Research on Behavior-based Detection Method for Mobile Application Security
Author_Institution :
Nat. Comput. Virus Emergency Response Center, Beijing Univ. of Technol., Tianjin, China
Abstract :
A detection method based on behaviors of running mobile applications is proposed in this paper. It can detect all mobile application software and judge whether they are tampered or harmful. Further more, applications are signed and then the authoritative white list library can be established. Therefore, the events of mutual malicious detection between companies can be avoided.
Keywords :
invasive software; libraries; mobile computing; authoritative white list library; behavior-based detection method; mobile application security; mobile application software; mutual malicious detection; Expert systems; Libraries; Malware; Mobile communication; Mobile handsets; Servers; Behavior analysis; Expert system; Running behavior; Signature; White list library;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.70
