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      Autonomous password generation and setting system with cosmic coding and transfer (COSMOCAT) and cosmic time calibrator (CTC)

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          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 s to 1 min, depending on the nodal distance (10–50 cm). Consequently, it is confirmed that automatically generated and frequent password updates are possible with COSMO-PASS, which will effectively protect the data and network. Although applications of COSMO-PASS are limited to a short range, since users do not have to know or physically input the password to their system, the phishing risk is greatly mitigated. It is anticipated that the enhanced security level capabilities of COSMO-PASS can easily be applied to the next generation of secured short-haul wireless sensor networks to achieve the realization of safer and smarter communities.

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          Most cited references21

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          Natural Disaster Monitoring with Wireless Sensor Networks: A Case Study of Data-intensive Applications upon Low-Cost Scalable Systems

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            Survey on clustering in heterogeneous and homogeneous wireless sensor networks

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              Massively parallel ultrafast random bit generation with a chip-scale laser

              Random numbers are widely used for information security, cryptography, stochastic modeling, and quantum simulations. Key technical challenges for physical random number generation are speed and scalability. We demonstrate a method for ultrafast generation of hundreds of random bit streams in parallel with a single laser diode. Spatiotemporal interference of many lasing modes in a specially designed cavity is introduced as a scheme for greatly accelerated random bit generation. Spontaneous emission, caused by quantum fluctuations, produces stochastic noise that makes the bit streams unpredictable. We achieve a total bit rate of 250 terabits per second with off-line postprocessing, which is more than two orders of magnitude higher than the current postprocessing record. Our approach is robust, compact, and energy-efficient, with potential applications in secure communication and high-performance computation.
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                Author and article information

                Contributors
                ht@eri.u-tokyo.ac.jp
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 February 2025
                13 February 2025
                2025
                : 15
                : 5378
                Affiliations
                [1 ]University of Tokyo, ( https://ror.org/057zh3y96) Tokyo, Japan
                [2 ]International Virtual Muography Institute (VMI), Global, Tokyo, Japan
                [3 ]INRIM (Istituto Nazionale di Ricerca Metrologica), ( https://ror.org/03vn1bh77) Torino, Italy
                [4 ]Swinburne University of Technology, ( https://ror.org/031rekg67) Melbourne, Australia
                [5 ]mDetect, Melbourne, Australia
                [6 ]Muon Solutions Oy, Oulu, Finland
                [7 ]University of Oulu, ( https://ror.org/03yj89h83) Oulu, Finland
                [8 ]HUN-REN Wigner Research Centre for Physics, ( https://ror.org/035dsb084) Budapest, Hungary
                Article
                87007
                10.1038/s41598-025-87007-6
                11825669
                39948124
                b91d906b-7f6c-4f74-90d5-f507cc4e8d07
                © The Author(s) 2025

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 May 2024
                : 15 January 2025
                Categories
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                © Springer Nature Limited 2025

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                electrical and electronic engineering,engineering,physics,particle physics,experimental particle physics,mathematics and computing,computer science,information technology

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