• DocumentCode
    234941
  • Title

    Cryptographic Algorithms Analysis Technology Research Based on Functions Signature Recognition

  • Author

    Rui Chang ; Liehui Jiang ; Hui Shu ; Hongqi He

  • Author_Institution
    State Key Lab. of Mathematic Eng. & Adv. Comput., MEAC, Zhengzhou, China
  • fYear
    2014
  • fDate
    15-16 Nov. 2014
  • Firstpage
    499
  • Lastpage
    504
  • Abstract
    At present, the research on software reverse engineering pays more attention to cryptographic algorithms recognition and analysis. Malwares are becoming increasingly stealthy, more and more malwares are using cryptographic algorithms to protect themselves from being analyzed. There are no mature theory and tools to analyze cryptographic algorithms from the executable files effectively and exactly. In order to solve the problem efficiently, this paper discusses functions signature recognition technology, creating the cryptographic algorithms library including more than 3000 signature characteristics, and explores a way to recognize cryptographic algorithms based on functions signature recognition. Finally, the experiment results indicate the method is effective and feasible.
  • Keywords
    cryptography; invasive software; pattern recognition; cryptographic algorithms analysis; cryptographic algorithms library; functions signature recognition technology; malwares; Algorithm design and analysis; Character recognition; Ciphers; Feature extraction; Libraries; Software algorithms; cryptographic algorithms recognition; minimum perfect Hash function; signature library;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4799-7433-7
  • Type

    conf

  • DOI
    10.1109/CIS.2014.20
  • Filename
    7016946