Deep Learning for Intrusion Detection

Foreword

In an era where cyber threats grow more sophisticated by the day, safeguarding our digital environment has never been more critical. The book Deep Learning for Intrusion Detection: Techniques and Applications comes at a time when our digital environment is growing at a remarkable pace, bringing with it both opportunities and challenges. Among these challenges, safeguarding our networks and systems from ever-evolving cyber threats has become a critical priority. The integration of deep learning into intrusion detection is not just a technical advancement—it is a necessary step toward ensuring the safety, reliability, and trustworthiness of our digital world.

The chapters in this volume bring together knowledge, experiences, and perspectives from experts who have spent years working in this area. Together, they offer readers a balanced blend of foundational understanding and practical approaches that can be applied in diverse contexts. This makes the book a valuable resource not only for researchers and students but also for industry professionals, policy-makers, and anyone seeking to understand how modern technologies can be used to protect what matters most.

I am especially proud that this work is connected with Bahrain Polytechnic. It reflects our strong commitment to fostering innovation, encouraging interdisciplinary collaboration, and promoting research that addresses real-world challenges. Publications like these help position our institution as a contributor ...