http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108932691-B

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http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L9-00
filingDate 2018-08-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-12-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-12-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-108932691-B
titleOfInvention Multi-diffusion Image Encryption and Decryption Method Based on Quantum Cellular Neural Network Chaos
abstract Quantum cellular neural network chaos multidiffusion image encryption and decryption method, involving the field of image encryption technology, solves the problems of insufficient key space and insufficient randomness in existing image encryption methods, and cannot effectively resist known plaintext attacks and chosen plaintext In view of the security defects of attacks and other issues, the present invention uses the chaos control table and quantum exchange table generated by the quantum cellular neural network to scramble the plaintext image within the block and between the blocks, and through positive and negative diffusion and dynamic diffusion multiple The chaotic diffusion step is used to remove the correlation between image pixels. The quantum cellular neural network hyperchaotic system has higher key dimensions, larger key space, stronger sensitivity, and stronger ability to resist various security attacks. At the same time, because the quantum chaotic system is composed of quantum dots and quantum cells Automata are new nano-scale devices that transmit information to each other through Coulomb interaction, and have the advantages of ultra-high integration, low power consumption, and lead-free integration.
priorityDate 2018-08-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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