• DocumentCode
    592983
  • Title

    Data Oriented Software Security Testing

  • Author

    Hong Yu ; Liu Xiao-ming ; Huang Song ; Zheng Chang-You

  • Author_Institution
    Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2012
  • fDate
    8-10 Dec. 2012
  • Firstpage
    676
  • Lastpage
    679
  • Abstract
    With the fast developing of Internet and intelligent device, information security issue is becoming much more important every day. More and more researchers are attracted to software security testing study. Most of them put their works on software access control model based testing, which takes into account information mainly on multi-dimensions, like roles, permissions and contexts. But the key disadvantage of access control model based testing is its model are hard to be built in many circumstance, for example, to describe requirement "picture A is only allowed to be copied twice outside terminal B", researcher has to extend the original model with hierarchy status and priority sub models. To overcome this disadvantage, this paper present a framework of data oriented access control testing method, which focus mainly on data and its actions instead of role, permission and contexts. Though experiments, this paper also proves that the method is much more instructive than access control model in test cases automatic generating.
  • Keywords
    authorisation; automatic test software; program testing; automatic test case generation; data actions; data-oriented software access control testing method; data-oriented software security testing method; information security issue; instructive method; Access control; Context modeling; Data models; Software; Testing; Unified modeling language; access control model; model based testing; security testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-5034-1
  • Type

    conf

  • DOI
    10.1109/IMCCC.2012.164
  • Filename
    6428999