Computer Science and Information Technology Series

Cybersecurity in the Digital Age

Threats, Defenses, and Future Challenges in Information Security

As digital transformation accelerates, cybersecurity has become a critical concern for individuals, organizations, and governments. This volume examines the current threat landscape, advanced persistent threats, zero-trust architectures, cryptographic protocols, and emerging challenges posed by quantum computing and IoT security.

Machine Learning and Artificial Intelligence: Trends and Applications

Deep Learning, Generative Models, and Real-World Deployments

Editors: Marcus Lindqvist, Chen Wei

This volume provides an in-depth exploration of the rapidly evolving landscape of machine learning and AI. Chapters cover transformer architectures, large language models, computer vision, reinforcement learning, and responsible AI practices. Written by leading researchers from top institutions worldwide, the book is essential reading for both researchers and practitioners.

Cloud Computing, Edge Intelligence, and Distributed Systems

Proceedings of CCEDIS 2022 International Conference

This proceedings volume collects peer-reviewed research from the CCEDIS 2022 conference. Papers address scalable cloud architectures, fog computing, containerization technologies, microservices, distributed databases, and consensus algorithms in blockchain systems.