• DocumentCode
    3034764
  • Title

    An identification method on unknown malicious code based on the good or Evil index of API

  • Author

    Zhu, Lijun

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Shenyang Univ. of Chem. Technol., Shenyang, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    5285
  • Lastpage
    5288
  • Abstract
    This paper puts forward a algorithm based on the good or evil index of API(AGEI) to identify unknown malicious code, it can judge whether the code is malicious or not by a judgement threshold based on the degree of good or evil related API which is catched when the code execute. The experiments result shows that the proposed identification method achieves a good effect on unknown malicious code detection.
  • Keywords
    application program interfaces; invasive software; API; identification method; unknown malicious code detection; Bayesian methods; Bismuth; Chemical technology; Indexes; Information technology; Malware; Sockets; dynamic behavior; judgement threshold; legal code; malicious code;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002309
  • Filename
    6002309