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Performance of symmetric ciphers and one-way hash functions

  • Michael Roe
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 809)

References

  1. 1.
    D. Balenson. RFC 1423: Privacy Enhancement for Internet Electronic Mail: Part III: Algorithms, Modes, and Identifiers, February 1993.Google Scholar
  2. 2.
    E. Biham. On modes of operation. In Fast Software Encryption: Cambridge Security Workshop, December 1993.Google Scholar
  3. 3.
    CWI, Amsterdam. RIPE Integrity Primitives — Final Report of RACE Integrity Primitives Evaluation (R1040), June 1992.Google Scholar
  4. 4.
    B. Kaliski. RFC 1319: The MD2 Message-Digest Algorithm, April 1992.Google Scholar
  5. 5.
    J. L. Massey. SAFER K-64: A byte-oriented block-ciphering algorithm. In Fast Software Encryption: Cambridge Security Workshop, December 1993.Google Scholar
  6. 6.
    C. H. Meyer and S. M. Matyas. Cryptography: a new dimension in computer data security. John Wiley and Sons, 1982.Google Scholar
  7. 7.
    National Bureau of Standards. Federal Information Processing Standard — Publication 46: Data Encryption Standard, 1977.Google Scholar
  8. 8.
    National Bureau of Standards. Federal Information Processing Standard — Publication 81: DES Modes of Operation, 1977.Google Scholar
  9. 9.
    National Bureau of Standards. Federal Information Processing Standard — Publication 180: Secure Hash Standard, 1993.Google Scholar
  10. 10.
    R. L. Rivest. RFC 1320: The MD4 Message-Digest Algorithm, April 1992.Google Scholar
  11. 11.
    R. L. Rivest. RFC 1321: The MD5 Message-Digest Algorithm, April 1992.Google Scholar
  12. 12.
    [Russian] State Committee for Standardization, Metrology and Certification. GOST 28147: Cryptographic Protection for Data Processing Systems — Cryptographic Transformation Algorithm, 1990.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • Michael Roe
    • 1
  1. 1.Cambridge University Computer LaboratoryUK

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