دانلود کتاب اطلاعات سایبری فدرال آموزش فدرال برای امنیت سایبری

The rapid growth of cybersecurity risks, with the growing need to safeguard data privacy, has led to the development of novel solutions that enable cooperation while ensuring secrecy. Federated learning is a novel methodology that facilitates decentralized learning while preserving data integrity. This book, Federated Cyber Intelligence, examines the intersection between federated learning and cybersecurity. Upon completing this book, readers will grasp its core concepts, their practical uses, and potential applications. This book starts with Chapter 1, which explains the fundamental ideas of federated learning. Chapter 2 elucidates the essential methodological and technical components of federated learning. Chapter 3 pertains to cybersecurity, providing essential insights into the principles, challenges, and evolving landscape of cyber defense. Chapter 4 analyzes the impact of federated learning on modern cybersecurity systems. It demonstrates its capacity to identify and alleviate dangers using decentralized intelligence. Chapter 5 ultimately contemplates the insights acquired and analyzes the forthcoming trajectory, emphasizing future problems and possibilities in federated cyber intelligence. This book is intended for scholars and educators aiming to comprehend the relationship between federated learning and cybersecurity.