IEEE Access (Jan 2020)

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

  • Bikash Debnath,
  • Jadav Chandra Das,
  • Debashis De,
  • Sankar Prasad Mondal,
  • Ali Ahmadian,
  • Mehdi Salimi,
  • Massimiliano Ferrara

DOI
https://doi.org/10.1109/ACCESS.2020.3002081
Journal volume & issue
Vol. 8
pp. 117159 – 117172

Abstract

Read online

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.

Keywords