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      A novel trust-based security and privacy model for Internet of Vehicles using encryption and steganography

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          Metasurface-based key for computational imaging encryption

          A single metasurface operates as a reusable generator of different keys to encode various secret images in a computational way. Optical metasurfaces can offer high-quality multichannel displays by modulating different degrees of freedom of light, demonstrating great potential in the next generation of optical encryption and anti-counterfeiting. Different from the direct imaging modality of metasurfaces, single-pixel imaging (SPI) as a typical computational imaging technique obtains the object image from a decryption-like computational process. Here, we propose an optical encryption scheme by introducing metasurface-images (meta-images) into the encoding and decoding processes as the keys of SPI encryption. Different high-quality meta-images generated by a dual-channel Malus metasurface play the role of keys to encode multiple target images and retrieve them following the principle of SPI. Our work eliminates the conventional digital transmission process of keys in SPI encryption, enables the reusability of a single metasurface in different encryption processes, and thereby paves the way toward a high-security optical encryption between direct and indirect imaging methods.
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            Dual‐Encryption in a Shape‐Memory Hydrogel with Tunable Fluorescence and Reconfigurable Architecture

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              Fractional-order double-ring erbium-doped fiber laser chaotic system and its application on image encryption

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                Author and article information

                Journal
                Computers and Electrical Engineering
                Computers and Electrical Engineering
                Elsevier BV
                00457906
                September 2022
                September 2022
                : 102
                : 108205
                Article
                10.1016/j.compeleceng.2022.108205
                3caf1645-fadc-4e6d-ad32-0be54abb4b62
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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