• DocumentCode
    2565153
  • Title

    Ghost key patterns with Equidistant Chosen Message attack on RSA-CRT

  • Author

    Park, Jong Yeon ; Han, Dong-Guk ; Yi, Okyeon ; Choi, Dooho

  • Author_Institution
    Dept. of Math., Kookmin Univ., Seoul, South Korea
  • fYear
    2011
  • fDate
    18-21 Oct. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    RSA is one of the most widely used public key algorithms, and the RSA-CRT variation is applied to improve efficiency of operations. Since Power analysis attacks were introduced, many researchers have studied not only power analysis attacks of RSA but also CRT specified attacks. Boer et al. [3] proposed a new analysis method for finding r = x mod p with equidistant chosen plaintexts. From the knowledge of r, we can compute a secret prime number p. As this method is based on equidistant messages, unlike general power analysis methods, it is called MRED (Modular reduction on equidistant data) power analysis or ECMPA (Equidistant Chosen Message Power Analysis). Since there are various novel characteristics in equidistant messages, there exist unusual properties of ghost keys that are not seen in general power attacks. In this paper, we describe unknown and interesting characteristics of ghost key patterns using real experiments.
  • Keywords
    public key cryptography; CRT specified attacks; RSA-CRT; equidistant chosen message attack; equidistant chosen message power analysis; equidistant data; general power analysis method; ghost key patterns; modular reduction; power analysis attacks; public key algorithm; secret prime number; Algorithm design and analysis; Correlation; Embedded systems; Hamming weight; Hardware; Public key cryptography; Correlation Power Analysis(CPA); Differential Power Analysis(DPA); MRED; RSA-CRT; Side channel attack;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology (ICCST), 2011 IEEE International Carnahan Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1071-6572
  • Print_ISBN
    978-1-4577-0902-9
  • Type

    conf

  • DOI
    10.1109/CCST.2011.6095924
  • Filename
    6095924