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Security Analysis with Novel Image Masking Based Quantum-Dot Cellular Automata Information Security Model

Articolo
Data di Pubblicazione:
2020
Citazione:
Security Analysis with Novel Image Masking Based Quantum-Dot Cellular Automata Information Security Model / Debnath, B., Das, J.C., De, D., Mondal, S.P., Ahmadian, A., Salimi, M., Ferrara, M.. - In: IEEE ACCESS. - ISSN 2169-3536. - 8:(2020), pp. 117159-117172. [10.1109/ACCESS.2020.3002081]
Abstract:
Mask of an image is generated in this article using Quantum Dot Cellular Automata. An encoder circuit is drafted to produce the Mask Image. This encoder can function as a decoder as well. A mask image is used to retrieve the original image,although the secret key remains unknown. Power dissipation calculations are performed to comprehend the proposed circuit consumes lower power dissipation at nano-scale level design.The security of the proposed circuit is guaranteed by validating with different security standards. The design paradigm matches the theoretical values, which authorizes the accurateness of the proposed circuit. The Structural Similarity (SSIM) index of the retrieved image is calculated to establish the degradation of the image quality is minimal. The stuck-at-fault analysis is performed to prove the stability of the circuit.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
cipher image; mask image; power dissipation; QCA; security; SSIM
Elenco autori:
Debnath, B.; Das, J. C.; De, D.; Mondal, S. P.; Ahmadian, A.; Salimi, M.; Ferrara, M.
Autori di Ateneo:
FERRARA Massimiliano
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/119383
Pubblicato in:
IEEE ACCESS
Journal
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