DINESH KUMAR ARIVALAGAN, SURESH KOTTUR
Indexed In: Google scholar
Release Date: 25/08/2026 | Copyright:©2026 | Pages: 125
ISBN10: 9349552124 | ISBN13: 9789349552128
Advances in Cybersecurity: Artificial Intelligence, Automation, and Digital Defense explores emerging cybersecurity technologies that use artificial intelligence, machine learning, and automation to address evolving cyber threats. The monograph covers intelligent threat detection, behavioral analytics, automated incident response, threat intelligence, security orchestration, adversarial machine learning, API security, Infrastructure-as-Code security, privacy-preserving AI, threat actor profiling, and intelligent Security Operations Center architectures. It highlights how AI-driven approaches improve threat prediction, security monitoring, response efficiency, and digital resilience. The book provides researchers, academicians, students, and cybersecurity professionals with contemporary concepts, practical approaches, and future directions for developing intelligent, adaptive, and robust digital defense systems.
Advances in Cybersecurity: Artificial Intelligence, Automation, and Digital Defense covers the integration of artificial intelligence, machine learning, automation, and intelligent analytics into modern cybersecurity. The monograph addresses AI-driven threat detection, cyber threat intelligence, threat actor profiling, behavioral analysis, adversarial machine learning, automated incident response, security orchestration, API security, Infrastructure-as-Code security, secure machine learning pipelines, privacy-preserving AI, autonomous security, cross-domain threat correlation, and intelligent SOC architecture. It examines emerging approaches for proactive threat prediction, continuous monitoring, rapid response, risk management, and resilient digital infrastructure. The coverage also considers challenges involving security, privacy, explainability, scalability, trust, robustness, and future AI-enabled cyber defense.
Dinesh Kumar Arivalagan is a cybersecurity and data science researcher with specialized expertise in machine learning, advanced analytics, and intelligent security systems. He has authored multiple research papers published in prestigious journals indexed by Web of Science and Scopus, and has presented his research at IEEE conferences. His scholarly interests focus on Data Science, Cybersecurity, and Machine Learning, addressing emerging challenges in secure, intelligent, and data-driven technologies. Through his research and publications, he demonstrates specialized knowledge and sustained engagement with emerging areas of cybersecurity and artificial intelligence. His scholarly contributions provide research-oriented insights for academicians, researchers, and technology professionals, supporting the advancement of applied research and innovation in cybersecurity and data science.
Suresh Kottur is a technology professional and editorial book author specializing in machine learning, artificial intelligence, and AI-driven cybersecurity solutions. He has authored Machine Learning Algorithms and Techniques (ISBN: 978-9548020536), which examines fundamental and advanced machine learning algorithms and their applications in modern data-driven systems. He has also authored Smart Shields: Advanced AI Models for Cyber Threat Analysis and Prevention (ISBN: 979-8347046278), which focuses on AI-driven cybersecurity techniques for threat detection, analysis, and prevention. Through his publications, he demonstrates expertise at the intersection of artificial intelligence, machine learning, and cybersecurity, contributing research-oriented and practical insights to the evolving field of intelligent digital security.
