Title :
REES: Malicious software detection framework for MeeGo-In Vehicle Infotainment
Author :
Kim, Ho-Yeon ; Choi, Young-Hyun ; Chung, Tai-Myoung
Author_Institution :
Dept. of Electr. & Comput. Eng., Sungkyunkwan Univ., Suwon, South Korea
Abstract :
According to growth in mobile handsets, mobile malware also has been increasing. The target of malware is servers, personal computers, tablets, and smartphone, not excepting the IVI (In-Vehicle Infotainment). In this paper, we analyse MeeGo that is one of the mobile operating system in IVI and propose the REES (Restricted Execution Environment System) that it provides mobility while program is being analysed. To reduce the run time overhead, REES analyse malware on cloud computing.
Keywords :
cloud computing; invasive software; mobile computing; mobile handsets; operating systems (computers); road vehicles; traffic information systems; MeeGo-In vehicle infotainment; REES; cloud computing; malicious software detection framework; mobile handsets; mobile malware; mobile operating system; personal computers; restricted execution environment system; servers; smart phone; Automotive engineering; Electronic mail; Linux; Security; IVI; malicious software; mobile malware;
Conference_Titel :
Advanced Communication Technology (ICACT), 2012 14th International Conference on
Conference_Location :
PyeongChang
Print_ISBN :
978-1-4673-0150-3
