In a digital age marked by increasingly sophisticated cyber threats, Mastering Intrusion Detection for Cybersecurity offers a vital, up-to-date guide for researchers, cybersecurity professionals, and advanced learners seeking to enhance their defense strategies. This practical volume presents a comprehensive overview of modern intrusion detection systems (IDS), combining theoretical foundations with actionable insights into emerging technologies and real-world applications. Covering a wide range of intrusion detection techniques, including machine learning, behavior analytics, anomaly detection, and human-centered approaches, this book explores the evolving challenges and solutions in network security, cloud environments, industrial systems, and intelligent infrastructure. Readers will benefit from the hands-on perspective and interdisciplinary approach that bridges the gap between academic innovation and practical deployment. With a focus on enhancing threat detection accuracy, improving response time, and adapting to dynamic attack surfaces, this book serves as a valuable resource for strengthening digital resilience in today's complex cyber landscape.