Computational Intelligence for Cybersecurity Management and Applications 1st Edition

Computational Intelligence for Cybersecurity Management and Applications, 1st Edition delivers a clear, practical roadmap for integrating advanced AI techniques into real-world security operations. Combining theory with applied case studies, this volume equips cybersecurity leaders, analysts, and researchers with the computational intelligence tools needed to detect threats, automate response, and strengthen resilient systems across industries.

Explore how machine learning, neural networks, fuzzy logic, and evolutionary computing can be harnessed for intrusion detection, anomaly analysis, risk prioritization, and adaptive defense—presented in accessible language with actionable workflows. The book balances algorithmic explanation with management perspectives, showing how technical solutions align with organizational policies and operational constraints. Readers will appreciate step-by-step examples, performance metrics, and guidance on deploying models in production environments.

Designed for professionals and teams worldwide, the content is relevant to security operations centers, IT managers, academic researchers, and consultancy firms seeking scalable, regionally compliant strategies. Whether you’re modernizing threat intelligence pipelines in North America, strengthening critical infrastructure in Europe, or deploying adaptive controls across APAC enterprises, this edition emphasizes transferable methods and best practices.

Packed with practical insights and strategic direction, this book transforms complex computational concepts into tangible cybersecurity outcomes. Strengthen your defenses, sharpen detection capabilities, and lead data-driven security initiatives with confidence. Order your copy today to bring advanced computational intelligence into your cybersecurity toolkit.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.