Security and Communication Networks

Chaos Theory and DNA Computing for Secure Image Communication


Publishing date
01 Feb 2023
Status
Closed
Submission deadline
07 Oct 2022

Lead Editor

1National Institute of Technology, Jamshedpur, India

2University of Technology, Baghdad, Iraq

3Nanchang University, Nanchang, China

This issue is now closed for submissions.

Chaos Theory and DNA Computing for Secure Image Communication

This issue is now closed for submissions.

Description

Communication fields have grown rapidly in recent years. As such, transmitting multimedia contents through open channels has become a challenging task. Multimedia contents that are transmitted through these channels are highly prone to vulnerabilities and attacks. Therefore, secure and efficient data communication is a major concern in multimedia communication systems. Resultantly, major efforts have been taken by researchers to safeguard the originality of each image. Digital images may include a lot of personal, private, and confidential information and other important data, so their protection has attracted much attention. Encryption technology is a common means to assure the security of digital images and has been widely used in various fields of digital image security.

Currently, there exist many mature block encryption schemes that are widely used in text encryption and these schemes have great efficacy. Nevertheless, due to the uniqueness of the image, such as being two-dimensional, redundancy, and a strong correlation of two adjacent pixels, traditional text encryption methods face severe challenges when attempting to apply to images. Moreover, the problem of real-time transmission should be considered in image encryption to improve communication performance. Therefore, it is necessary to study new technologies and methods of image encryption. Images and video frames have been developed in cryptography using DNA computing and Chaos Theory jointly. A novel method of image encryption was suggested based on the DNA algorithm and Chaos theory, as the most important principle in image encryption is breaking the correlation amongst pixels. This algorithm performs well against chosen cipher-text attacks. The chaos-based cryptographic algorithms have suggested new ways to develop efficient image encryption schemes. The random nature of chaos is effectively spread into encrypted images. DNA computing is a novel method of simulating the bio-molecular structure of DNA and computing. The promise it came with was a brand-new means of data structure and calculation which would provide a brand-new generation for storage and more importantly, security, and cryptography due to the wide array of parallelism in DNA.

The objective of this Special Issue is to investigate, analyze, and address challenging issues and emerging trends in chaos theory and DNA computing for secure image communication. In particular, we encourage contributions on the development of novel approaches based on advanced encryption algorithms. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • DNA computing and chaotic algorithms for robust image encryption
  • DNA computing and multiple chaotic systems for image encryption systems
  • DNA computing and chaos-based substitution box for new color image encryption techniques
  • DNA computing and chaos-inspired triggering method for light and secure encryption techniques
  • Chaos theory and DNA standard displacement encryption algorithms for security image communication
  • DNA coding and hyperchaotic system-based asymmetric image encryption algorithms for network applications
  • Chaotic system and compressive sensing-based encryption algorithms for image compression
  • Chaotic maps and DNA computing in cryptoanalysis of an image block encryption algorithm
  • Chaos and finite state machine in image encryption scheme for hybridizing digital applications
  • Chaotic system and DNA computing in novel 3D image encryption applications

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