• DocumentCode
    2784502
  • Title

    Attribution of Fraudulent Resource Consumption in the Cloud

  • Author

    Idziorek, Joseph ; Tannian, Mark ; Jacobson, Doug

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2012
  • fDate
    24-29 June 2012
  • Firstpage
    99
  • Lastpage
    106
  • Abstract
    Obligated by a utility pricing model, Internet-facing web resources hosted in the public cloud are vulnerable to Fraudulent Resource Consumption (FRC) attacks. Unlike an application-layer DDoS attack that consumes resources with the goal of disrupting short-term availability, an FRC attack is a considerably more subtle attack that instead seeks to disrupt the long-term financial viability of operating in the cloud by exploiting the utility pricing model over an extended time period. By fraudulently consuming web resources in sufficient volume (i.e. data transferred out of the cloud), an attacker (e.g. botnet) is able to incur significant fraudulent charges to the victim. This paper proposes an attribution methodology to identify malicious clients participating in an FRC attack. Experimental results demonstrate that the presented methodology achieves qualified success against challenging attack scenarios.
  • Keywords
    cloud computing; fraud; pricing; security of data; FRC attack; Internet-facing Web resources; application-layer DDoS attack; fraudulent resource consumption attacks; fraudulent resource consumption attribution; long-term financial viability; malicious clients identification; public cloud; utility pricing model; Bandwidth; Cloud computing; Computer crime; Context; NASA; Pricing; Training; anomaly detection; application-layer DDoS; attribution; cloud computing; fraudulent resource consumption attack; security; utility pricing model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    2159-6182
  • Print_ISBN
    978-1-4673-2892-0
  • Type

    conf

  • DOI
    10.1109/CLOUD.2012.23
  • Filename
    6253494