Shanmugam Muthu, Mohan Kumar G, Dinesh Kumar, Dr E. Gurumoorthi
Indexed In: google scholar
Release Date: 31/01/2025 | Copyright:©2025 | Pages: 395
DOI: 10.71443/9788197933684
ISBN10: 8197933685 | ISBN13: 9788197933684
This book explores the transformative power of deep neural networks (DNNs) in predictive analytics and proactive decision-making for securing critical infrastructure. It delves into advanced machine learning techniques, anomaly detection, and real-time threat assessment to mitigate risks in sectors like energy, transportation, and cybersecurity. Through case studies and practical applications, readers will gain insights into leveraging AI-driven models to anticipate vulnerabilities, optimize responses, and enhance resilience. With a focus on cutting-edge research and implementation strategies, this book serves as a vital resource for professionals, researchers, and policymakers aiming to fortify critical infrastructure against emerging threats.
This book explores the application of deep neural networks (DNNs) in predictive analytics and proactive decision-making for securing critical infrastructure. It delves into advanced machine learning techniques to detect threats, assess risks, and optimize responses in real time. Covering key concepts such as anomaly detection, cyber-physical system security, and AI-driven risk mitigation, the book provides a comprehensive guide for researchers, cybersecurity professionals, and policymakers. With case studies and practical implementations, it highlights how DNNs enhance resilience against cyberattacks, natural disasters, and system failures, ensuring the safety and reliability of essential infrastructure in an increasingly digital world.
Shanmugam Muthu specializes in Data Engineering and Data Science. His expertise includes architecting data models and advanced analytics, focusing on scalable architecture for business users in the United States. Shanmugam's extensive experience in Cybersecurity, AI, and Machine Learning makes him well-equipped to address real-world challenges in the field.
Mohan Kumar G is an Assistant Vice President at Wells Fargo Bank N.A. in Charlotte, NC, with 16 years of rich experience in Information Technology. He specializes in Cybersecurity, application resiliency, CI/CD, and cloud technologies specifically Azure cloud which making significant contributions to the banking sector's technology landscape. Mohan’s extensive background in technology and cybersecurity positions made him as a key player in developing secure, resilient applications in the financial industry
Dinesh Kumar Arivalagan has made significant contributions to his field, with multiple research papers published in prestigious journals indexed by Web of Science, Scopus, and IEEE conferences. His research interests span across Data Science, Cybersecurity, and Machine Learning, showcasing his expertise and dedication to advancing technological frontiers.
Dr. E. Gurumoorthi working as an Associate Professor, in the School of Engineering at Malla Reddy University , Hyderabad, India. He graduated with a Master of Computer Applications from Pondicherry University, Pondicherry, India in the year 2007 and Master of Technology in CSE from PRIST University, Tamilnadu, India in the year 2012. He was awarded Ph.D(CSE) Degree in Annamalai University, Tamil Nadu, in the year 2020. His research area includes Computer Networks, WSN, VANET and IoT. He is also the reviewer of various reputed journals like IEEE and Springer.
