• DocumentCode
    624545
  • Title

    Comparison of cryptosystems using a single-scale statistical measure

  • Author

    Gonzalez, Jesus David Terrazas ; Kinsner, Witold

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
  • fYear
    2013
  • fDate
    5-8 May 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A useful measure is presented for comparison of distinct cryptosystems, including (i) the RSA algorithm, (ii) ElGamal algorithm, (iii) a cryptosystem based on radio background noise (RBN), and (iv) a new cryptosystem based on chaos phenomena. The four cryptosystems are implemented to have the same computational power, and are compared through the marginal probability mass functions (mpmf). This paper shows experimentally that the chaos-based modular dynamical cryptosystem is (i) strong to statistical cryptanalysis by leaving no patterns or hooks in the ciphertexts and (ii) faster than the selected algorithms from public-key cryptography (RSA) and elliptic curve cryptography (ElGamal).
  • Keywords
    chaos; public key cryptography; statistical analysis; ElGamal algorithm; RBN; RSA algorithm; chaos phenomena; chaos-based modular dynamical cryptosystem; ciphertexts; elliptic curve cryptography; marginal probability mass functions; mpmf; public-key cryptography; radio background noise; single-scale statistical measure; statistical cryptanalysis; Automata; Chaos; Computers; Elliptic curve cryptography; Encryption; Cryptanalysis cryptography; chaos; continuous-interval cellular automata; cryptosystems; data protection; dynamical systems; elliptic curve cryptography; network security; networked control systems; public-key cryptography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
  • Conference_Location
    Regina, SK
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-0031-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2013.6567841
  • Filename
    6567841