Agricultural Unmanned Aerial Vehicle image transmission protection scheme based on hybrid hyperchaos and Bonouille-DCT compressed sensing

Agricultural Unmanned Aerial Vehicle image transmission protection scheme based on hybrid hyperchaos and Bonouille-DCT compressed sensing | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Agricultural Unmanned Aerial Vehicle image transmission protection scheme based on hybrid hyperchaos and Bonouille-DCT compressed sensing Lingzhi Zhou, Han Xia, Qingfa Lin, Xin Yang, Xiangwei Zhang, Man Zhou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4000239/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Sep, 2024 Read the published version in Scientific Reports → Version 1 posted 13 You are reading this latest preprint version Abstract This study introduces the Two-Dimensional Hybrid Chaotic Fourier Series and Nonlinear Coupled Oscillator Model (2- DHOCFSANCOM), which is integrated with compressed sensing technology, aiming to address the challenge of slow encryption speeds in agricultural Unmanned Aerial Vehicles (UAVs). The principal challenge in enhancing encryption speed is the inher- ently limited capacity of traditional chaos-based systems coupled with the complexity of their computational processes. By employing a sophisticated two-dimensional hybrid chaotic system, the 2-DHOCFSANCOM significantly enhances the security of image transmission in agricultural drones. This model surpasses existing chaos-based methods by integrating advanced Fourier series and nonlinear coupled oscillators, achieving improved pseudo-randomness and robustness in encryption. Moreover, incorporating the Bonouille function into the Discrete Cosine Transform (DCT) domain results in a sparser measurement matrix, which is pivotal for enabling efficient real-time encryption. The effectiveness of 2-DHOCFSANCOM in securely encrypting images from agricultural drones has been rigorously validated through simulations and analytical evaluations, employing sophisticated row, rotation, and matrix encryption techniques. Comparative analyses have further confirmed its enhanced safety performance. Compared to other models, the 2-DHOCFSANCOM demonstrates a notably higher Lyapunov exponent of 15.1039 and a sample entropy of 2.5, evidencing its superior chaotic performance and reliability in encryption. Physical sciences/Mathematics and computing/Computer science Physical sciences/Mathematics and computing/Information technology Fourier series Nonlinear Coupled Oscillator Model Two-dimensional hyperchaos Image encryption agricultural images Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 28 Sep, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 11 Jul, 2024 Reviews received at journal 18 Jun, 2024 Reviewers agreed at journal 15 Jun, 2024 Reviewers agreed at journal 07 Jun, 2024 Reviewers agreed at journal 27 Apr, 2024 Reviews received at journal 26 Apr, 2024 Reviewers agreed at journal 19 Apr, 2024 Reviewers agreed at journal 19 Apr, 2024 Reviewers invited by journal 19 Apr, 2024 Editor assigned by journal 18 Apr, 2024 Editor invited by journal 17 Mar, 2024 Submission checks completed at journal 17 Mar, 2024 First submitted to journal 29 Feb, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4000239","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":280635755,"identity":"44c085d2-fa70-412b-acce-07af6a235075","order_by":0,"name":"Lingzhi Zhou","email":"","orcid":"","institution":"School of Advanced Manufacturing, Guangdong University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Lingzhi","middleName":"","lastName":"Zhou","suffix":""},{"id":280635756,"identity":"7f13c187-464d-4b5a-b4bb-45d33a07a7d8","order_by":1,"name":"Han Xia","email":"","orcid":"","institution":"School of Advanced Manufacturing, 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