This comprehensive collection presents cutting-edge research at the intersection of cybersecurity, artificial intelligence, and emerging technologies for critical infrastructure protection. The book addresses pressing challenges in today’s digital landscape, from machine learning-based threat detection and blockchain security to IoT vulnerabilities and advanced persistent threat mitigation. Contributors explore innovative AI-driven solutions for defending against sophisticated cyberattacks, including phishing detection, SQL injection prevention, DDoS mitigation, and protocol-based attack identification.
The research spans multiple domains including SCADA systems security, industrial control systems protection, and the application of deep learning models for real-time threat detection. With a particular focus on practical implementation and performance evaluation, the book bridges theoretical concepts with real-world applications, making it invaluable for cybersecurity professionals, researchers, and organizations seeking to enhance their defensive capabilities against evolving cyber threats in an increasingly connected world. Based on a workshop at the International Conference on Leadership, Business, and Management with a STEM focus (ICLBM STEM 2024) held in San Francisco, California, USA, this work explores the powerful convergence of leadership, business, management, and the transformative capabilities of science, technology, engineering, and mathematics (STEM).
