Chaos-based Pseudo Random Number Generators via quasi-synchronized Chua’s circuits: a symmetric encryption perspectiveShow others and affiliations
2026 (English)In: Analog Integrated Circuits and Signal Processing, ISSN 0925-1030, E-ISSN 1573-1979, Vol. 126, no 2, article id 26Article in journal (Refereed) Published
Abstract [en]
Research efforts have extensively shown the significant roles of unpredictable phenomena originated in nature, such as chaos, as an inspiring discipline to generate random numbers. In the current study, focusing on encryption purposes, the main strategy is to provide a keystream using Pseudo Random Number Generators (PRNGs) derived from synchronized chaotic systems. Numerous Investigations performed on the synchronized configuration of Chua’s circuit have proven the advantage of its application as a prominent chaotic system. However, the less than ideal alignment between the core objective of the research, that is offering a secure communication optionally necessitating an arbitrary distance of the correspondents, and the standard version of synchronized Chua’s circuits not fulfilling this condition pragmatically, made the authors tackle the problem analytically by using the governing equations of the circuits and creating the so-called quasi-synchronized condition between the receiving and the transmitting sides. At last, eight different mathematical schemes are designed to manipulate the numerical data provided by the Chua’s equations to generate binary sequences for encryption purposes and then the main attempt has been dedicated to the evaluation of the results and finding the optimal PRNGs by conventional standards in cryptography provided by National Institute of Standards and Technology. Finally, three of the designed schemes are chosen as the successful methods, passing randomness criteria.
Place, publisher, year, edition, pages
2026. Vol. 126, no 2, article id 26
Keywords [en]
Chaos theory, Chaotic circuits/hardware, Chua’s circuit, Key agreement, Pseudo/true random number generator, Stream cipher, Symmetric encryption
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-375752DOI: 10.1007/s10470-025-02542-6ISI: 001649163000003Scopus ID: 2-s2.0-105026320839OAI: oai:DiVA.org:kth-375752DiVA, id: diva2:2031049
Note
QC 20260122
2026-01-222026-01-222026-01-22Bibliographically approved