Efficient methods to determine the reversibility of general 1D linear cellular automata in polynomial complexity

Xinyu Du; Chao Wang; Tianze Wang; Zeyu Gao

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arXiv · 1907.06012

Efficient methods to determine the reversibility of general 1D linear cellular automata in polynomial complexity

Xinyu Du·Chao Wang·Tianze Wang·Zeyu Gao

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Abstract

In this paper, we study reversibility of one-dimensional(1D) linear cellular automata(LCA) under null boundary condition, whose core problems have been divided into two main parts: calculating the period of reversibility and verifying the reversibility in a period. With existing methods, the time and space complexity of these two parts are still too expensive to be employed. So the process soon becomes totally incalculable with a slightly big size, which greatly limits its application. In this paper, we set out to solve these two problems using two efficient algorithms, which make it possible to solve reversible LCA of very large size. Furthermore, we provide an interesting perspective to conversely generate 1D LCA from a given period of reversibility. Due to our methods' efficiency, we can calculate the reversible LCA with large size, which has much potential to enhance security in cryptography system.

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BibTeX RIS

Xinyu Du, Chao Wang, Tianze Wang, Zeyu Gao. 2019-07-13. Efficient methods to determine the reversibility of general 1D linear cellular automata in polynomial complexity. https://arxiv.org/abs/1907.06012

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