• DocumentCode
    1710553
  • Title

    Differential power analysis attack using the Upper Tailed T-test distinguisher

  • Author

    Farouk, Hala A. ; Moneim, A.F.A.

  • Author_Institution
    Comput. Eng., Arab Acad. for Sci. & Technol., Alexandria, Egypt
  • fYear
    2010
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    The implementation of cryptographic algorithms on both software and hardware introduced an access to occurrences of undesirable events of secret information leakage known as Side-Channel leakage. Information analysis methods which analyze the Side-Channel leakage to deduce parts of the secret cryptographic key are called Side-Channel Attacks (SCA). Differential Side-Channel Analysis (DSCA) attack as one of these SCA is the dominating one because of its efficiency and relatively low cost compared to other SCA. In this paper we propose the Upper Tailed T-test statistical method as an effective distinguisher for Differential Side-Channel Analysis. We show how the analysis using the Upper Tailed T-Test saves the attacker 40% of the efforts required in revealing parts of the key in comparison to traditional methods.
  • Keywords
    cryptography; statistical analysis; cryptographic algorithms; differential power analysis attack; differential side-channel analysis attack; information analysis methods; secret cryptographic key; secret information leakage; side-channel attacks; side-channel leakage; statistical method; upper tailed t-test distinguisher; Algorithm design and analysis; Correlation; Cryptography; Power demand; Region 8; Registers; Statistical analysis; Crypto-analysis; Differential Side-Channel Analysis (DSCA); Upper Tailed T-Test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Technologies in Electrical and Electronics Engineering (SIBIRCON), 2010 IEEE Region 8 International Conference on
  • Conference_Location
    Listvyanka
  • Print_ISBN
    978-1-4244-7625-1
  • Type

    conf

  • DOI
    10.1109/SIBIRCON.2010.5555329
  • Filename
    5555329