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Practical Human-Machine Identification over Insecure Channels

Author

Listed:
  • Xiang-Yang Li

    (University of Illinois at Urbana-Champaign)

  • Shang-Hua Teng

    (University of Illinois at Urbana-Champaign
    University of Minnesota)

Abstract

Human-machine identification is an important problem in cryptography that has applications in network access, electronic commerce, and smart-card design. It is a hard problem largely because human users have a very limited capacity in memorizing secrets and in performing protocols. Therefore, in addition to the requirement that a human-machine identification scheme must be provably secure, the scheme has to be practical in the sense that it must be feasible for a human user to participate. In this paper, we develop a new scheme for this problem. Our scheme improves upon some of the previously proposed human-machine identification schemes. We present a vigorous security analysis of our scheme. We also present some attacks to show previously proposed schemes could be vulnerable.

Suggested Citation

  • Xiang-Yang Li & Shang-Hua Teng, 1999. "Practical Human-Machine Identification over Insecure Channels," Journal of Combinatorial Optimization, Springer, vol. 3(4), pages 347-361, December.
    • Handle: RePEc:spr:jcomop:v:3:y:1999:i:4:d:10.1023_a:1009894418895
    DOI: 10.1023/A:1009894418895
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