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A semi-symmetric image encryption scheme based on the function projective synchronization of two hyperchaotic systems
- Source :
- PLoS ONE, PLoS ONE, Vol 12, Iss 9, p e0184586 (2017)
- Publication Year :
- 2017
- Publisher :
- Public Library of Science, 2017.
-
Abstract
- Both symmetric and asymmetric color image encryption have advantages and disadvantages. In order to combine their advantages and try to overcome their disadvantages, chaos synchronization is used to avoid the key transmission for the proposed semi-symmetric image encryption scheme. Our scheme is a hybrid chaotic encryption algorithm, and it consists of a scrambling stage and a diffusion stage. The control law and the update rule of function projective synchronization between the 3-cell quantum cellular neural networks (QCNN) response system and the 6th-order cellular neural network (CNN) drive system are formulated. Since the function projective synchronization is used to synchronize the response system and drive system, Alice and Bob got the key by two different chaotic systems independently and avoid the key transmission by some extra security links, which prevents security key leakage during the transmission. Both numerical simulations and security analyses such as information entropy analysis, differential attack are conducted to verify the feasibility, security, and efficiency of the proposed scheme.
- Subjects :
- Computer science
Entropy
lcsh:Medicine
Encryption
Cryptography
Transportation
02 engineering and technology
01 natural sciences
Chi Square Tests
Synchronization
Scrambling
Mathematical and Statistical Techniques
Alice and Bob
Cellular neural network
0202 electrical engineering, electronic engineering, information engineering
Image Processing, Computer-Assisted
lcsh:Science
010301 acoustics
Quantum
Computer Science::Cryptography and Security
Multidisciplinary
Applied Mathematics
Simulation and Modeling
Physics
Plants
Physical Sciences
Thermodynamics
Engineering and Technology
Algorithms
Statistics (Mathematics)
Research Article
Computer and Information Sciences
Imaging Techniques
Color
Quantum key distribution
Topology
Research and Analysis Methods
Fruits
0103 physical sciences
Entropy (information theory)
Statistical Methods
Statistical Hypothesis Testing
business.industry
lcsh:R
Organisms
Biology and Life Sciences
020206 networking & telecommunications
Boats
Nonlinear Dynamics
lcsh:Q
Neural Networks, Computer
business
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 12
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....791b5186210b82e49b84c7aadf36c4aa