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From Random Numbers to Random Objects
Journal article   Open access   Peer reviewed

From Random Numbers to Random Objects

Behrouz Zolfaghari, Khodakhast Bibak and Takeshi Koshiba
Entropy (Basel, Switzerland), Vol.24(7), p.928
07/04/2022
PMID: 35885151
Web of Science ID: WOS:000831648300001

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Abstract

Many security-related scenarios including cryptography depend on the random generation of passwords, permutations, Latin squares, CAPTCHAs and other types of non-numerical entities. Random generation of each entity type is a different problem with different solutions. This study is an attempt at a unified solution for all of the mentioned problems. This paper is the first of its kind to pose, formulate, analyze and solve the problem of random object generation as the general problem of generating random non-numerical entities. We examine solving the problem via connecting it to the well-studied random number generation problem. To this end, we highlight the challenges and propose solutions for each of them. We explain our method using a case study; random Latin square generation.
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