 A framework of YOLOv5 integrated privacy-preserving secure image communication using fractional order memristor based Chua’s circuit and fully synchronization with adaptive coupling strengthP. Babu Dhivakaran, A. Vinodkumar, P. Sriramakrishnan and J. Alzabut Mathematics and Computers in Simulation (MATCOM), 2026, vol. 240, issue C, 284-302 Abstract: This paper demonstrates the fully distributed synchronization of fractional-order memristor-based Chua’s circuits with adaptive coupling strength. The outcome of the traditional and proposed circuits is applied for privacy-preserving victim data encryption with secure image communications using artificial intelligence through the YOLOv5 model. Finally, the application framework and its results depict the effectiveness of the theoretical parts. The results were measured using signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR), and structural similarity index metrics (SSIM) and compared with several state-of-the-art methods. The result shows that the composite memristor Chua’s circuit and direct, undirected network yield higher accuracy at the receiver end compared to the traditional Chua’s Circuit and other existing models. Keywords: Fully synchronization; Caputo derivative; Chua’s circuit; Memristor; Convex Lyapunov function; Image encryption; Privacy preservation; Victim protection (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:240:y:2026:i:c:p:284-302 DOI: 10.1016/j.matcom.2025.07.005 Access Statistics for this article Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier |
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