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Trustworthy public randomness with sloth, unicorn, and trx

Trustworthy public randomness with sloth, unicorn, and trx Many applications require trustworthy generation of public random numbers. It is shown how this can be achieved using a hash function that is timed to be as slow as desired (sloth), while the correctness of the resulting hash can be verified quickly. It is shown how sloth can be used for uncontestable random number generation (unicorn), and how unicorn can be used for a new trustworthy random elliptic curves service (trx) and random-sample voting. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Applied Cryptography Inderscience Publishers

Trustworthy public randomness with sloth, unicorn, and trx

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1753-0563
eISSN
1753-0571
DOI
10.1504/IJACT.2017.089354
Publisher site
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Abstract

Many applications require trustworthy generation of public random numbers. It is shown how this can be achieved using a hash function that is timed to be as slow as desired (sloth), while the correctness of the resulting hash can be verified quickly. It is shown how sloth can be used for uncontestable random number generation (unicorn), and how unicorn can be used for a new trustworthy random elliptic curves service (trx) and random-sample voting.

Journal

International Journal of Applied Cryptography – Inderscience Publishers

Published: Jan 1, 2017

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