• DocumentCode
    16986
  • Title

    Distributed denial of service attacks in software-defined networking with cloud computing

  • Author

    Qiao Yan ; Yu, F.

  • Author_Institution
    Coll. of Comput. Sci. & Software Eng., Shenzhen Univ., Shenzhen, China
  • Volume
    53
  • Issue
    4
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    52
  • Lastpage
    59
  • Abstract
    Although software-defined networking (SDN) brings numerous benefits by decoupling the control plane from the data plane, there is a contradictory relationship between SDN and distributed denial-of-service (DDoS) attacks. On one hand, the capabilities of SDN make it easy to detect and to react to DDoS attacks. On the other hand, the separation of the control plane from the data plane of SDN introduces new attacks. Consequently, SDN itself may be a target of DDoS attacks. In this paper, we first discuss the new trends and characteristics of DDoS attacks in cloud computing environments. We show that SDN brings us a new chance to defeat DDoS attacks in cloud computing environments, and we summarize good features of SDN in defeating DDoS attacks. Then we review the studies about launching DDoS attacks on SDN and the methods against DDoS attacks in SDN. In addition, we discuss a number of challenges that need to be addressed to mitigate DDoS attached in SDN with cloud computing. This work can help understand how to make full use of SDN´s advantages to defeat DDoS attacks in cloud computing environments and how to prevent SDN itself from becoming a victim of DDoS attacks.
  • Keywords
    cloud computing; computer network security; software defined networking; DDoS attacks; DDoS mitigation; SDN; cloud computing environments; control plane separation; data plane; distributed denial of service attacks; software-defined networking; Cloud computing; Computer architecture; Computer crime; Decoupling; Network security; Software radio;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2015.7081075
  • Filename
    7081075