Abstract
With the rapid advancements of the internet of things (IoT), several applications have evolved with completely dissimilar structures and requirements. However, the fifth generation of mobile cellular networks (5G) is unable to successfully support the dissimilar structures and requirements. The sixth generation of mobile cellular networks (6G) is likely to enable new and unidentified applications with varying requirements. Therefore, 6G not only provides 10 to 100 times the speed of 5G, but 6G can also provide dynamic services for advanced IoT applications. However, providing security to 6G networks is still a significant problem. Therefore, in this paper, a hybrid image encryption technique is proposed to secure multimedia data communication over 6G networks. Initially, multimedia data are encrypted by using the proposed model. Thereafter, the encrypted data are then transferred over the 6G networks. Extensive experiments are conducted by using various attacks and security measures. A comparative analysis reveals that the proposed model achieves remarkably good performance as compared to the existing encryption techniques.
Funder
National center for Hydrogen and fuel cells
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Cited by
26 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Monitoring, Operations, and Performance Assessment Through AI and Cloud-Based Plants;Advances in Computational Intelligence and Robotics;2024-05-28
2. Comparative Analysis of Different Machine Learning Models with Different Phishing Datasets;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09
3. An Exploration of Gait Datasets and Their Implications;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24
4. YOLO-RS: An Efficient YOLO-Based Approach for Remote Sensing Object Detection;2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART);2023-12-22
5. Fake Currency Detection using Ensemble Learning;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01