A robust image-based cryptology scheme based on cellular nonlinear network and local image descriptors. Issue 5 (2nd September 2020)

• Record Type: Journal Article
• Authors: Dehshibi, Mohammad Mahdi; Shanbehzadeh, Jamshid; Pedram, Mir Mohsen
• Is Part Of: International journal of parallel, emergent and distributed systems. Volume 35:Issue 5(2020)
• Page Start: 514
• Page End: 534
• Publication Date: 2020-09-02
• Subjects: Cryptography -- steganography -- chaotic map -- cellular nonlinear network -- image descriptor -- complexity; Parallel computers -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Computer algorithms -- Periodicals; 004.35
• DOI: 10.1080/17445760.2018.1510929
• Languages: English
• ISSNs: 1744-5760

Abstract

Abstract : 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.