A robust image-based cryptology scheme based on cellular nonlinear network and local image descriptors

Cellular nonlinear network (CNN) provides an infrastructure for cellular automata to have not only an initial state but an input which has a local memory in each cell with much more complexity. This property has many applications which we have investigated it in proposing a robust cryptology scheme....

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Bibliographic Details
Published in:International journal of parallel, emergent and distributed systems emergent and distributed systems, 2020-09, Vol.35 (5), p.514-534
Main Authors: Dehshibi, Mohammad Mahdi, Shanbehzadeh, Jamshid, Pedram, Mir Mohsen
Format: Article
Language:English
Subjects:
Algorithms
Automata theory
Cellular automata
Cellular communication
cellular nonlinear network
chaotic map
Complexity
Cryptography
Encryption
image descriptor
Robustness
Steganography
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Summary:Cellular nonlinear network (CNN) provides an infrastructure for cellular automata to have not only an initial state but an input which has a local memory in each cell with much more complexity. This property has many applications which we have investigated it in proposing a robust cryptology scheme. This scheme consists of a cryptography and steganography sub-module in which a 3D CNN is designed to produce a chaotic map as the kernel of the system to preserve confidentiality and data integrity in cryptology. Our contributions are three-fold including (1) a feature descriptor is applied to the cover image to form the secret key while conventional methods use a predefined key, (2) a 3D CNN is used to make a chaotic map for making cipher from the visual message, and (3) the proposed CNN is also used to make a dynamic k-least significant bit steganography. Conducted experiments on 25 standard images prove the effectiveness of the proposed cryptology scheme in terms of security, visual, and complexity analysis.
ISSN:1744-5760
1744-5779
DOI:10.1080/17445760.2018.1510929