Computational alternatives to random number generators

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Abstract

In this paper, we present a simple method for generating random-based signatures when random number generators are either unavailable or of suspected quality (malicious or accidental). By opposition to all past state-machine models, we assume that the signer is a memoryless automaton that starts from some internal state, receives a message, outputs its signature and returns precisely to the same initial state; therefore, the new technique formally converts randomized signatures into deterministic ones. Finally, we show how to translate the random oracle concept required in security proofs into a realistic set of tamper-resistance assumptions.

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APA

M’Raïhi, D., Naccache, D., Pointcheval, D., & Vaudenay, S. (1999). Computational alternatives to random number generators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1556, pp. 72–80). Springer Verlag. https://doi.org/10.1007/3-540-48892-8_6

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