• DocumentCode
    2198643
  • Title

    Cloud Evaluation Method of Network Attack Resistance Ability

  • Author

    Wang, Huimei ; Xian, Ming ; Wang, Guoyu

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    2
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    239
  • Lastpage
    243
  • Abstract
    Attack Resistance Testing (ART) is challenging because a system´s authors have to play the double role of attackers and defenders. Evaluation of network attack resistance ability is an invaluable mechanism for ART. To objectively evaluate the attack resistance ability, we introduce the cloud theory, which realize the transform between quality and quantity. We propose the cloud evaluation model and algorithm of network attack resistance ability. The proposed model is three-fold: (1) We propose a series of network attack resistance metrics that measure the attack impact and attack cost during an attack. (2) We present the weight of evaluation metrics using 1-dimensional normal distribution clouds, which cut down the evaluation results´ impressible. (3) We illustrate the algorithm of the attack resistance ability evaluation model. We successfully demonstrate that our evaluation method using cloud model is brief and effective.
  • Keywords
    cloud computing; computer network security; 1-dimensional normal distribution clouds; attack resistance testing; cloud evaluation method; cloud theory; network attack resistance ability evaluation model; network attack resistance metrics; Computational modeling; Computer networks; Gravity; Measurement; Resistance; Security; Testing; Attack resistance ability; Cloud model; Evaluation method; metric;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Information Security (NCIS), 2011 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-61284-347-6
  • Type

    conf

  • DOI
    10.1109/NCIS.2011.145
  • Filename
    5948828