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
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;
Conference_Titel :
Network Operations and Management Symposium (NOMS), 2012 IEEE
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-0267-8
Electronic_ISBN :
1542-1201
DOI :
10.1109/NOMS.2012.6212067