以增强数据安全和隐私为目标的元胞自动机素数自然序列探索

Pub Date : 2021-10-01 DOI:10.4018/ijcini.20211001.oa5
Arnab MITRA
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引用次数: 0

摘要

增强数据安全和隐私是当今数字社会的主要关注点之一。prime在增强数据安全和隐私方面的作用是不可否认的。虽然提出了几个素数代,但一个经济有效且易于实现的生成素数序列应该始终具有针对现实生活应用的优势。因此,本文提出了使用元胞自动机(CA)生成素数序列,因为基于CA的建模易于实现,但代价是触发器。本研究的主要贡献在于探讨了在固定边界环境下具有特殊类群CA的素数(即素数A000040)的自然序列;这可能会成为增强数据安全和隐私的主要来源。实验结果证实,A000040系列的前50个成员可能只在自动机大小为8时进行探索。本文还针对A000040素数序列的生成,对CA结构及其动力学进行了详细的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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On the Exploration of the Natural Sequence of Primes With Cellular Automata Targeting Enhanced Data Security and Privacy
Enhanced data security and privacy are one of the major concerns in today’s digital society. The role of Primes towards the enhancements of data security and privacy is undeniable. Though several prime generations were presented, yet a cost effective and an easy to implement generation of Prime sequence should always have an advantage targeting real life applications. Hence, prime sequence generation using Cellular Automata (CA) is presented in this article as CA based modelling are easy to implement at the cost of flip-flops. The main contribution of this research is to explore the natural sequence of primes (i.e., primes A000040) with a special class of group CA, at fixed boundary environment; which may potentially be used as a Prime source towards the enhancements of data security and privacy. Experimental results confirm that the first 50 members of A000040 series may be explored at automata size 8 only. Detailed investigations towards the CA configuration and its dynamics in view of the generation of prime A000040 sequence, are also presented in this article.
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