• DocumentCode
    2872680
  • Title

    Software Vulnerability Discovery Techniques: A Survey

  • Author

    Bingchang Liu ; Liang Shi ; Zhuhua Cai ; Min Li

  • Author_Institution
    Software Sch., Xiamen Univ., Xiamen, China
  • fYear
    2012
  • fDate
    2-4 Nov. 2012
  • Firstpage
    152
  • Lastpage
    156
  • Abstract
    Software vulnerabilities are the root cause of computer security problem. How people can quickly discover vulnerabilities existing in a certain software has always been the focus of information security field. This paper has done research on software vulnerability techniques, including static analysis, Fuzzing, penetration testing. Besides, the authors also take vulnerability discovery models as an example of software vulnerability analysis methods which go hand in hand with vulnerability discovery techniques. The ending part of the paper analyses the advantages and disadvantages of each technique introduced here and talks about the future direction of this field.
  • Keywords
    fuzzy set theory; program diagnostics; security of data; computer security problem; fuzzing; penetration testing; software vulnerability analysis methods; software vulnerability discovery techniques; static analysis; Accuracy; Computational modeling; Educational institutions; Security; Software; Software reliability; Testing; Fuzzing; Penetration testing; Software static analysis; Vulnerability; vulnerability discovery model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-3093-0
  • Type

    conf

  • DOI
    10.1109/MINES.2012.202
  • Filename
    6405650