DocumentCode :
3074430
Title :
Malware Detection for Mobile Devices Using Software-Defined Networking
Author :
Ruofan Jin ; Bing Wang
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Connecticut, Storrs, CT, USA
fYear :
2013
fDate :
20-22 March 2013
Firstpage :
81
Lastpage :
88
Abstract :
The rapid adoption of mobile devices comes with the growing prevalence of mobile malware. Mobile malware poses serious threats to personal information and creates challenges in securing network. Traditional network services provide connectivity but do not have any direct mechanism for security protection. The emergence of Software-Defined Networking (SDN) provides a unique opportunity to achieve network security in a more efficient and flexible manner. In this paper, we analyze the behaviors of mobile malware, propose several mobile malware detection algorithms, and design and implement a malware detection system using SDN. Our system detects mobile malware by identifying suspicious network activities through real-time traffic analysis, which only requires connection establishment packets. Specifically, our detection algorithms are implemented as modules inside the OpenFlow controller, and the security rules can be imposed in real time. We have tested our system prototype using both a local testbed and GENI infrastructure. Test results confirm the feasibility of our approach. In addition, the stress testing results show that even unoptimized implementations of our algorithms do not affect the performance of the OpenFlow controller significantly.
Keywords :
invasive software; mobile computing; OpenFlow controller; SDN; mobile device; mobile malware detection system; real-time traffic analysis; security protection; security rule; software-defined networking; Control systems; Detection algorithms; IP networks; Malware; Mobile communication; Mobile handsets; Protocols; GENI; OpenFlow; SDN; malware;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research and Educational Experiment Workshop (GREE), 2013 Second GENI
Conference_Location :
Salt Lake City, UT
Type :
conf
DOI :
10.1109/GREE.2013.24
Filename :
6601421
Link To Document :
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