• 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