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Special Issue on Artificial Intelligence-Driven Information Security for Communication Networks

Artificial intelligence (AI) technology poses new challenges for the control and maintenance of information-based communication networks. The security of a network is closely related to the information content it transmits, and the security of that content mainly involves the confidentiality, authenticity and integrity of information. As images are one of the most commonly-transmitted pieces of information, image security and quality control are of great significance. In addition to the ongoing threat of information explosion, communication networks are sensitive to cyber attacks. Emerging image/video forgery technologies also pose unprecedented challenges to information security.

The rapid development of AI technology has improved the scalability, speed and accuracy of communication networks. Various machine learning-based estimation and detection methods have been designed for networks, proving that AI can change the way we respond, control, manage and maintain them. Artificial intelligence and its derivatives are a powerful set of tools with potential for use in all aspects of network security, network threat hunting, and network threat intelligence.

This special issue seeks novel papers describing the use of AI-based tools, technologies and procedures to ensure that technology can perceive, react and communicate changes in network security, and ensure that the creation, transmission and storage of information, especially image information, is credible. It will feature the latest research advances, ideas and practical applications of AI technology in solving the scalability of communication networks. We will review past trends and the current state of AI-oriented communication network security in a clear context, so that future technologies can be imagined and created. Submissions may represent any application area of communication networks.

Topics Covered:

  •  AI-based security tools, techniques and procedures for communication networks
  •  AI-based authentication of information in communication networks
  •  Security protection of communication networks
  •  AI-based image/video quality evaluation in communication networks
  •  Attack identification and adversarial defense methods in communication networks
  •  Human interaction with security and privacy issues in communication networks
  •  Theory of AI in communication network security
  •  Network security and threat intelligence
  •  Applications of AI in communication network modelling and simulation
  •  Intelligent methods to improve the efficiency of information screening
  •  AI-driven false information identification methods in communication networks
  •  AI-driven data security and privacy in communication networks
  •  Applications of intelligent data analysis in communication networks
  •  Applications of AI in digital forensics in communication networks

Important Deadlines:

  • Submission deadline: 30 November 2021
  • Acceptance deadline: 30 June 2022
  • Publication date: 31 August 2022

Submission Instructions:

Please read the Guide for Authors before submitting. All articles should be submitted online via the editorial management system. Please select the option ‘SI: AIISCN’.

Guest Editors:

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