Preface to Special Issue on AI-Based Future Intelligent Networks and Communication Security

  • Sunil Kumar Department of Computer Science & Engineering, Amity University, India
  • Glenford Mapp Faculty of Science & Technology, Department of Computer Science, Middlesex University, United Kingdom
  • Abhay Bansal Department of Computer Science & Engineering, Amity University, Uttar Pradesh, India
  • Korhan Cengiz Department of Electrical-Electronics Engineering, Trakya University, Edirne, Turkey

Abstract

Recent advancements in science focus on the study and development of algorithms that can learn from and make predictions and decisions based on data collected through intelligent devices. Big data analytics, AI, and software defined networking help to drive the management of data and usage of the exceptional computational power provided by cloud computing.


This special issue explores novel concepts and cutting-edge research and developments aimed at designing fully automated advanced digital networks. Driven by technological advances in big data, AI, and ML, such systems potentially have a wide range of applications in networking and communication security. The special issue covers analytical techniques for handling the vast amount of data generated by the Internet of Things (IoT), addressing topics ranging from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions. Next-generation protocols will dynamically learn and train themselves to improve reliability, fault tolerance, security, and storage optimization in cloud. These new concepts will allow network algorithms to ‘learn’ and change elastically based on the information they are exposed to. This issue comprises four outstanding contributions.

Keywords

AI-Based Future Intelligent Networks and Communications Security, Big data analytics, AI, Software, Internet of Things,

References

1. V.R Rajasekar, S. Rajkumar, A review of isolation attack mitigation mechanisms in RPL-based 6LoWPAN of internet of things, Computer Assisted Methods in Engineering and Science, 31(3): 279–311, 2024, doi: 10.24423/cames.2024.764.
2. I. Khan, A study of big data in cloud computing, Computer Assisted Methods in Engineering and Science, 31(3): 313–349, 2024, doi: 10.24423/cames.2024.906.
3. S. Shekhar, P. Singh, R. Mishra, S. Kumar, Predicting wealth score from remote sensing satellite images and household survey data using deep learning, Computer Assisted Methods in Engineering and Science, 31(3): 351–387, 2024, doi: 10.24423/cames.2024.722.
4. N. Taneja, H.K. Thakur, STN-CDRS: sentiment assisted cross-domain deep knowledge transfer recommendations, Computer Assisted Methods in Engineering and Science, 31(3): 389–415, 2024, doi: 10.24423/cames.2024.900.
Published
Sep 11, 2024
How to Cite
KUMAR, Sunil et al. Preface to Special Issue on AI-Based Future Intelligent Networks and Communication Security. Computer Assisted Methods in Engineering and Science, [S.l.], v. 31, n. 3, p. 275–277, sep. 2024. ISSN 2956-5839. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/1742>. Date accessed: 07 oct. 2024.
Section
[CLOSED]AI-based Future Intelligent Networks and Communication Security