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Multidimensional Encryption by Chip-Integrated Metasurfaces.
ACS Nano
July 2024
Electronic Information School, Wuhan University, Wuhan 430072, China.
Facing the challenge of information security in the current era of information technology, optical encryption based on metasurfaces presents a promising solution to this issue. However, most metasurface-based encryption techniques rely on limited decoding keys and struggle to achieve multidimensional complex encryption. It hinders the progress of optical storage capacity and puts encryption security at a disclosing risk.
View Article and Find Full Text PDFMulti-channel polarization manipulation based on graphene for encryption communication.
Sci Rep
May 2024
School of Electrical Engineering, Iran University of Science and Technology, Tehran, 1684613114, Iran.
Wave-based cryptography, at the vanguard of advancing technologies in advanced information science, is essential for establishing a diverse array of secure cryptographic platforms. The realization of these platforms hinges on the intelligent application of multiplexing techniques, seamlessly combined with appropriate metasurface technology. Nevertheless, existing multi-channel encryption technologies based on metasurfaces face challenges related to information leakage during partial channel decoding processes.
View Article and Find Full Text PDFNovel design of cryptographic architecture of nanorouter using quantum-dot cellular automata nanotechnology.
Sci Rep
May 2024
Department of Economics, Kebri Dehar University, Jigjiga, Somali, 250, Ethiopia.
The article introduces a revolutionary Nanorouter structure, which is a crucial component in the Nano communication regime. To complete the connection, many key properties of Nanorouters are investigated and merged. QCA circuits with better speed and reduced power dissipation aid in meeting internet standards.
View Article and Find Full Text PDFOptical Encryption Using Attention-Inserted Physics-Driven Single-Pixel Imaging.
Sensors (Basel)
February 2024
Center for Quantum Technology Research, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement of Ministry of Education, School of Physics, Beijing Institute of Technology, Beijing 100081, China.
Optical encryption based on single-pixel imaging (SPI) has made great advances with the introduction of deep learning. However, the use of deep neural networks usually requires a long training time, and the networks need to be retrained once the target scene changes. With this in mind, we propose an SPI encryption scheme based on an attention-inserted physics-driven neural network.
View Article and Find Full Text PDFChaotic image encryption algorithm with improved bonobo optimizer and DNA coding for enhanced security.
Heliyon
February 2024
Research Centre, Future University in Egypt, New Cairo, 11845, Egypt.
Image encryption involves applying cryptographic approaches to convert the content of an image into an illegible or encrypted format, reassuring that illegal users cannot simply interpret or access the actual visual details. Commonly employed models comprise symmetric key algorithms for the encryption of the image data, necessitating a secret key for decryption. This study introduces a new Chaotic Image Encryption Algorithm with an Improved Bonobo Optimizer and DNA Coding (CIEAIBO-DNAC) for enhanced security.
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