DocumentCode
2265996
Title
Monitoring and detecting abnormal behavior in mobile cloud infrastructure
Author
Kim, Taehyun ; Choi, Yeongrak ; Han, Seunghee ; Chung, Jae Yoon ; Hyun, Jonghwan ; Li, Jian ; Hong, James Won-Ki
Author_Institution
Div. of IT Convergence Eng., POSTECH, Pohang, South Korea
fYear
2012
fDate
16-20 April 2012
Firstpage
1303
Lastpage
1310
Abstract
Recently, several mobile services are changing to cloud-based mobile services with richer communications and higher flexibility. We present a new mobile cloud infrastructure that combines mobile devices and cloud services. This new infrastructure provides virtual mobile instances through cloud computing. To commercialize new services with this infrastructure, service providers should be aware of security issues. In this paper, we first define new mobile cloud services through mobile cloud infrastructure and discuss possible security threats through the use of several service scenarios. Then, we propose a methodology and architecture for detecting abnormal behavior through the monitoring of both host and network data. To validate our methodology, we injected malicious programs into our mobile cloud test bed and used a machine learning algorithm to detect the abnormal behavior that arose from these programs.
Keywords
cloud computing; invasive software; learning (artificial intelligence); mobile computing; abnormal behavior detection; abnormal behavior monitoring; cloud computing; cloud-based mobile services; machine learning algorithm; malicious programs; mobile cloud infrastructure; mobile cloud test bed; network data; security issues; security threats; service providers; virtual mobile instances; Cloud computing; IEEE 802.11 Standards; Malware; Mobile communication; Mobile computing; Mobile handsets; Monitoring; Mobile cloud computing; abnormal behavior monitoring; machine learning; mobile cloud infrastructure; mobile cloud service scenarios;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Operations and Management Symposium (NOMS), 2012 IEEE
Conference_Location
Maui, HI
ISSN
1542-1201
Print_ISBN
978-1-4673-0267-8
Electronic_ISBN
1542-1201
Type
conf
DOI
10.1109/NOMS.2012.6212067
Filename
6212067
Link To Document