Corresponding Author ORCID Identifer
Je Sen Teh https://orcid.org/0000-0001-5571-4148
Section
Pervasive Computing
Abstract
Chaos-based cryptography has yet to achieve practical, real-world applications despite extensive research. A major challenge is the difficulty in analysing the security of these cryptosystems, which often appear ad hoc in design. Unlike conventional cryptography, evaluating the security margins of chaos-based encryption against attacks such as differential cryptanalysis is complex. This paper introduces a straightforward approach of using chaotic maps in cryptographic algorithms in a way that facilitates cryptanalysis. We demonstrate how a chaos-based substitution function can be constructed using fixed-point representation, enabling the application of conventional cryptanalysis tools such as the difference distribution table. As a proof-of-concept, we apply our method to the logistic map, showing that differential properties vary based on the initial state and number of iterations. Our findings demonstrate the feasibility of designing analysable chaos-based cryptographic components with well-understood security margins.
Cite This Article
Teh, J. S., & Abba, A. (2024). Towards Analysable Chaos-based Cryptosystems: Constructing Difference Distribution Tables for Chaotic Maps. Journal of Informatics and Web Engineering, 3(3), 290–301. https://doi.org/10.33093/jiwe.2024.3.3.18
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