Autonomous password generation and setting system with Cosmic Coding and Transfer (COSMOCAT) and Cosmic Time Calibrator (CTC)

Autonomous password generation and setting system with Cosmic Coding and Transfer (COSMOCAT) and Cosmic Time Calibrator (CTC) | 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 Autonomous password generation and setting system with Cosmic Coding and Transfer (COSMOCAT) and Cosmic Time Calibrator (CTC) Hiroyuki Tanaka, Elena Cantoni, Marco Sellone, Giancarlo Cerretto, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4423253/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 13 Feb, 2025 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract As wireless sensor networks (WSNs) with Internet of Things (IoT) devices become increasingly widespread and more complex, the threat of cyber-attacks is also increasing. One of the most common ways WSNs can be hijacked is when passwords/IDs are leaked. If the passwords do not frequently change, it is easier for the system to be compromised. However, many organizations and individuals retain old passwords to avoid the hassle and challenge of continually remembering and managing new passwords. COSMO-PASS is a new technique that combines COSMOCAT and CTC to enable hardware-level protection of the WSN nodes. It removes the inconvenience of having its users create, remember, and change multiple passwords. Based on the test experiments and simulations with a 10 2 -cm 2 -sized (a smartphone-sized) detector, 6-7-digit passwords are automatically generated and transferred to the sensor node within the time range from 1 second to 1 minute, depending on the nodal distance. Consequently, it is confirmed that automatically generated and frequent password updates are possible with COSMO-PASS, which will effectively protect the data and network. It is anticipated that the enhanced security level capabilities of COSMO-PASS can easily be applied to the next generation of secured wireless sensor networks to achieve the realization of safer and smarter communities. Physical sciences/Engineering/Electrical and electronic engineering Physical sciences/Engineering Physical sciences/Physics Physical sciences/Physics/Particle physics Physical sciences/Physics/Particle physics/Experimental particle physics Physical sciences/Mathematics and computing Physical sciences/Mathematics and computing/Computer science Physical sciences/Mathematics and computing/Information technology Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 13 Feb, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 12 Aug, 2024 Reviews received at journal 06 Aug, 2024 Reviewers agreed at journal 24 Jul, 2024 Reviews received at journal 23 Jul, 2024 Reviewers agreed at journal 12 Jul, 2024 Reviewers invited by journal 11 Jul, 2024 Editor assigned by journal 11 Jul, 2024 Editor invited by journal 16 May, 2024 Submission checks completed at journal 16 May, 2024 First submitted to journal 15 May, 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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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-4423253","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":305920178,"identity":"212bf110-ab5a-4c23-81b2-6ad139d73379","order_by":0,"name":"Hiroyuki 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