DocumentCode :
1608558
Title :
Research on Behavior-based Detection Method for Mobile Application Security
Author :
Jianmin, Chen
Author_Institution :
Nat. Comput. Virus Emergency Response Center, Beijing Univ. of Technol., Tianjin, China
fYear :
2012
Firstpage :
240
Lastpage :
243
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
Type :
conf
DOI :
10.1109/ICICEE.2012.70
Filename :
6322359
Link To Document :
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