Vol. 4 No. 2 (2024): Emerging Technologies in Intelligent Networks and Cybersecurity for Healthcare, Smart Grids, and Communication Systems

This issue explores the dynamic convergence of advanced technologies such as blockchain, convolutional neural networks, and ensemble machine learning models to address pressing challenges across healthcare, communication, and smart grid applications. In an era marked by rapid digital transformation, ensuring secure, efficient, and scalable solutions is crucial. The papers in this issue present innovative approaches that redefine technological integration in areas like 6G-enabled healthcare systems, fortified encryption methods, and resilient smart grids.

Key highlights include a blockchain-empowered 6G framework for intelligent medical applications that enhances data security and responsiveness, as well as a study on convolutional neural networks that bolsters encryption and decryption mechanisms for secure data exchanges. Also featured is an analysis of detecting cyber-physical attacks in smart grids and IoT environments, emphasizing the need for robust defense mechanisms. Further reviews on long-distance optical fiber communication systems, machine learning models for breast cancer prediction, and cloud computing services for distributed mobile devices add depth to the discourse, each contributing unique insights into scalability and resilience for future networks.

This collection aims to serve as a valuable resource for researchers, engineers, and healthcare professionals who seek to harness the power of AI, blockchain, and IoT to drive advancements in intelligent and secure networks across various fields.