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Chaos machine

In mathematics, a chaos machine is a class of algorithms constructed on the base of chaos theory to produce pseudo-random oracles. It represents the idea of creating a universal scheme with modular design and customizable parameters, which can be applied wherever randomness and sensitiveness is needed.

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In mathematics, a chaos machine is a class of algorithms constructed on the base of chaos theory (mainly deterministic chaos) to produce pseudo-random oracles. It represents the idea of creating a universal scheme with modular design and customizable parameters, which can be applied wherever randomness and sensitiveness is needed.1

Theoretical model was published in early 2016 by Maciej A. Czyzewski.2 It was designed specifically to combine the benefits of hash function and pseudo-random function. However, it can be used to implement many cryptographic primitives, including cryptographic hashes, message authentication codes and randomness extractors.34

The flexibility of the chaos machine design allows it to be tailored for different applications by adjusting the choice of parameters. For example, the period length of the pseudo-random output can be targeted by selecting the appropriate space parameter. 2

See also

See also

References

References

  1. Blackledge, J M (March 10, 2010). Cryptography using Chaos (PDF) (Speech). Executive Speeches. Warsaw University of Technology.
  2. Maciej A. Czyzewski (2016). Chaos Machine: Different Approach to the Application and Significance of Numbers (Report). Cryptology ePrint Archive, Report 2016/468.
  3. Barker, Elaine; Barker, William; Burr, William; Polk, William; Smid, Miles (July 2012). "Recommendation for Key Management" (PDF). NIST Special Publication 800-57. NIST. Retrieved 19 August 2013.
  4. Kaneko, Kunihiko; Tsuda, Ichiro (2001). Complex systems : chaos and beyond a constructive approach with applications in life sciences. Physics and astronomy online library (in Japanese). Springer. ISBN 3-540-67202-8. Archived from the original on 2016-12-28. Retrieved 2016-12-27.
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