AI-Enhanced Cybersecurity for Industrial Automation. This item is unavailable.AI-Enhanced Cybersecurity for Industrial Automation

As industrial automation systems become reliant on digital technologies, they face growing threats from sophisticated cyberattacks. Traditional cybersecurity measures often struggle to keep up with the evolving threat landscape, leaving critical infrastructure vulnerable. AI-enhanced cybersecurity offers a promising solution by leveraging machine learning and intelligent algorithms to detect, respond to, and even predict cyber threats in real time. By integrating AI into industrial cybersecurity frameworks, organizations can strengthen their defenses, ensure operational continuity, and protect valuable assets from malicious threats. AI-Enhanced Cybersecurity for Industrial Automation explores the integration of AI and cybersecurity in industry 5.0, emphasizing sustainability, resilience, and ethical considerations. It examines how industry 5.0 extends beyond automation and efficiency by incorporating human-centric, sustainable, and intelligent technologies into industrial ecosystems. This book covers topics such as blockchain, industrial engineering, and machine learning, and is a useful resource for computer engineers, business owners, security professionals, academicians, researchers, and scientists.

Hari Mohan Pandey works in data science and artificial intelligence at school of technology Bournemouth University, UK. They are featured in the 2022 World Ranking list of Top 2% scientist by Sandford University. They specialized in Computer Science & Engineering. My research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning and computer vision. They have been an author of various books in computer science engineering (algorithms, programming and evolutionary algorithms). Recently, my book entitle “State of the Art on Grammatical Inference Using Evolutionary Method " has been published in Elsevier. They have published over 120 scientific papers in reputed journals and conferences. They are serving on the editorial board of reputed journals (including Neural Networks Elsevier, Applied Soft Computing Elsevier, Swarm and Evolutionary Computing Elsevier, Neural Computing and Applications Springer, IEEE Transactions of Evolutionary Computation, IEEE Transactions on Industrial Informatics, Neurocomputing Springer, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and Knowledge Based Systems Elsevier) as action editor, associate editor, and guest editor. They are a reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, AAAI etc. They have delivered expert talks as keynote and invited speaker. They are a fellow of the HEA of the UK Professional Standards Framework (UKPSF) and have a rich teaching experience at the higher education level. They have delivered lecturers in the International summer/winter schools. I have been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015”, award for completing INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher-education. In past, They worked as a sr. lecturer in computer science department at Edge Hill University. They also worked as a research fellow machine learning at the school of technology at Middlesex University London where they worked on a European Commission project- DREAM4CARS. My role was to research and develop advanced machine learning techniques relevant to the project goals and to evaluate these on both project & reference data sets. To lead and manage relevant work packages in support of the project, ensuring appropriate interfacing with partners.

Dr. Pawan Kumar Goel is a seasoned academician, researcher, and institutional leader with over two decades of rich experience in the field of Computer Science and Engineering. Presently serving as an Associate Professor in the Department of Computer Science & Engineering at Raj Kumar Goel Institute of Technology, Ghaziabad (affiliated to Dr. A.P.J. Abdul Kalam Technical University, Lucknow), Dr. Goel has made significant contributions to teaching, research, innovation, and academic administration. His academic journey is marked by a relentless pursuit of excellence, supported by strong educational credentials that include a Ph.D. in Computer Science Engineering, M.Tech in Computer Science & Engineering, and an MBA in Human Resource Management. He is also UGC-NET qualified in Computer Science and Applications and has cleared GATE multiple times. He earned his B.Tech in Information Technology with distinction. His impressive academic qualifications are complemented by numerous certifications from premier institutes in cutting-edge fields like AI, Blockchain, Cloud Computing, Cybersecurity, Quantum Computing, and more. Over his professional career, Dr. Goel has held several key academic and administrative positions. Throughout his journey, he has consistently demonstrated leadership in institutional development, curriculum innovation, accreditation processes (NAAC and NBA), and faculty mentoring. Dr. Goel is a prolific writer and editor, having authored and edited numerous books with globally reputed academic publishers such as IGI Global, Bentham Science, and Scientific International Publishing House. Some of his notable titles include Strategies for E-Commerce Data Security, Cloud Computing and IoT Strategies for Industry 5.0 Innovation, and Improving Security, Privacy, and Trust in Cloud Computing. He has authored over 50 book chapters in diverse areas such as AI for mental health, blockchain for social media, AI-based security for communication networks, and ethical considerations in cybersecurity and artificial emotional intelligence. His scholarly work is widely published in Scopus and UGC-indexed journals, and he has presented at leading IEEE international conferences such as IC3SE, ICDT, ICCSP, and AECE. Dr. Goel's research interests are interdisciplinary, encompassing cloud and edge computing, AI and machine learning, cybersecurity, IoT, wireless sensor networks, and blockchain technology. He has also filed several patents, including designs and systems for smart agricultural drones, IoT health monitoring devices, and blockchain-integrated IoT data management systems. His technological innovations reflect his commitment to solving real-world problems through applied research. Dr. Goel has received multiple awards and accolades for his academic and professional excellence. He was honored with the International Achiever Award 2023 for Distinguished Teaching by Gyan Uday Foundation and the Educator of the Year Award 2022 by Namaste India Council of Educators. He has also been recognized for his role in quality assurance and curriculum development by institutions like Quantum University and IIMT Greater Noida. In addition, he has received appreciation for his contributions as a reviewer and advisor at various international conferences and journals. An active contributor to professional and academic communities, Dr. Goel holds memberships in a wide range of reputed organizations including IEEE, ACM, CSI, IAENG, IACSIT, IFERP, CSTA, and SCIEI. He serves as an editorial and review board member for several international journals such as IJRAR, IJCSIS, JITE, and IJSCE. He is also the Institutional Ambassador for IFERP and serves as the Single Point of Contact (SPOC) for Infosys Campus Connect Program, further strengthening academia-industry collaboration. As a committed educator and academic facilitator, Dr. Goel has organized and coordinated several faculty development programs (FDPs), seminars, and workshops. He has played key roles in AICTE-sponsored FDPs, including being the Co-Coordinator of the ATAL FDP on Quantum Machine Learning in January 2025. He also serves as the Local Coordinator for the Remote Center of NITTTR Chandigarh, enabling the conduction of numerous FDPs and STCs through ICT mode. His organizational acumen and passion for innovation have enabled the successful execution of national-level events and knowledge dissemination platforms. Dr. Goel continues to actively participate in continuous learning and professional development, having completed numerous AICTE-ATAL FDPs in areas such as Cybersecurity in AI, Deep Learning, Quantum Computing, and Ethical AI. He has also successfully completed various NPTEL MOOCs on subjects including Blockchain Architecture, Data Science, Privacy and Security in Online Social Media, and NBA Accreditation processes. An enthusiastic academic with a strong foundation in pedagogy and research, Dr. Goel teaches core computer science courses such as Programming in C, Data Structures, Computer Networks, Database Management Systems, Cloud Computing, and Cybersecurity. His teaching philosophy emphasizes conceptual clarity, problem-solving, and the integration of emerging technologies into the curriculum. Dr. Goel’s personal qualities―leadership, optimism, perseverance, and hard work―have earned him admiration among his peers and students alike. His multifaceted contributions to academia, research, and innovation position him as a thought leader and change-maker in the Indian higher education landscape. He continues to inspire generations of learners and researchers, contributing significantly to the digital and technological transformation of the education ecosystem.