Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments (Intelligent Manufacturing and Industrial Engineering). This item is unavailable.Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments (Intelligent Manufacturing and Industrial Engineering)

The industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels of automation, productivity, and efficiency. However, as IIoT and AI become more pervasive in the industrial world, they also offer new security risks that must be addressed to ensure the reliability and safety of critical systems.

Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments provides a comprehensive guide to IIoT security, covering topics such as network architecture, risk management, data security, and compliance. It addresses the unique security challenges that the cloud and edge environments pose, providing practical guidance for securing IIoT networks in these contexts. It includes numerous real-world case studies and examples, providing readers with practical insights into how IIoT security and AI-enabled industrial engineering are being implemented in various industries. Best practices are emphasized for the readers to ensure the reliability, safety, and security of their systems while also learning the latest developments in IIoT security for AI-enabled industrial engineering systems in this rapidly evolving field.

By offering step-by-step guidance for the implantation process along with best practices, this book becomes a valuable resource for practitioners and engineers in the areas of industrial engineering, IT, computer engineering, and anyone looking to secure their IIoT network against cyber threats.

Dr. Sunil Kumar Chawla is working as Assistant Professor in the Department of Computer Science and Engineering, Chitkara University, Rajpura, Punjab, India. He has received his doctorate from IKG Punjab Technical University, Kapurthala, Punjab, India. He has more than 19 years of experience. His research interests lie in digital image processing, biometrics, image segmentation, artificial intelligence, machine learning and pattern recognition. He is a senior member of IEEE and other professional societies like ISTE, CSTA, IAENG, and Institute of Scholars. He has published more than 50 articles in international journals or conferences of repute, indexed in IEEE Xplore, Scopus, WoS, Google Scholar, and other eminent databases. He is associated with various international journals in the capacity of reviewer and guest editor. He has served as Technical Program Committee Member, Reviewer, Session Chair, and Program Chair of many conferences. He has edited two books under the publication of Routledge and CRC Press, Taylor & Francis Group, UK. He is also dealing with various academic and administrative duties for inclusive growth of the institution being served by handling teaching, learning, research, education, and overall development activities. He is also indulged in NBA, ABET, NIRF, and other accreditation and other ranking frameworks.

Dr Neha Sharma working as Assistant Professor in the Department of Computer Science and Engineering Department at Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She has received her Ph.D. degree in the area of Computer Science Engineering from GD Goenka University, Gurugram, and has vast teaching experience of more than 14 years in a reputed organization. She has more than 80 international publications in reputed peer-reviewed journals indexed in Scopus and WoS omit including IEEE Xplore, SCOPUS, and SCI indexed. Her main area of research is the image processing, machine learning, deep learning, and cyber security. She has also published more than 40 National & International Patents under the Intellectual Property Rights of Government of India & Abroad. She is actively associated with NAAC preparations at the university interface. She is associated with many highly impact society memberships, like IEEE (senior member), ACM, and ISTE (lifetime member).

Dr. Ahmed A. Elngar is Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, Dr. AE is an Adjunct Professor at School of Technology, Woxsen University, India. Dr. AE is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. AE is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. AE has more than 150 scientific research papers published in prestigious international journals and over 35 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environments. Dr. AE is a collaborative researcher. He is a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), network security, intrusion detection, machine learning, data mining, and artificial intelligence. Big Data, authentication, cryptology, healthcare systems, automation systems. He is an editor and reviewer of many international journals around the world. Dr. AE won several awards including the Young Researcher in Computer Science Engineering”, from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) in Delhi, India. Also, he was awarded the Best Young Researcher Award (Male) (Below 40 years)”, Global Education and Corporate Leadership Awards (GECL-2018), Plot No-8, Shivaji Park, Alwar 301001, Rajasthan.

Dr. Prasenjit Chatterjee is currently Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He is also a Distinguished Researcher at the School of Engineering, Universidad Católica del Norte, Chile. He has over 6900 citations and 130 research papers in various international journals and peer- reviewed conferences. He has authored and edited more than 43 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management, and sustainability modeling. Prof. Chatterjee has been consecutively enlisted in the Top 2% list of researchers and scientists for a single year published by Elsevier-Scopus and Stanford University under “Operations Research” with a global rank of 3513 and a composite c-score of 2.8080. He has been ranked 9th among all Indian researchers and scientists in “Operations Research”. Dr. Chatterjee is the Editor-in-Chief of Journal of Decision Analytics and Intelligent Computing. He has also been the guest editor of several special issues in different SCIE/Scopus/ESCI (Clarivate Analytics) indexed journals. He is the Lead Series Editor of Disruptive Technologies and Digital Transformations for Society 5.0, Springer. He has also been the guest editor of several special issues in different SCIE/Scopus/ESCI (Clarivate Analytics) indexed journals. He is the Lead Series Editor of “Smart and Intelligent Computing in Engineering”, Chapman and Hall/CRC Press, Founder and Lead Series Editor of “Concise Introductions to AI and Data Science”, Scrivener-Wiley; AAP Research Notes on Optimization and Decision-Making Theories; Frontiers of Mechanical and Industrial Engineering, Apple Academic Press, co-published with CRC Press, Taylor and Francis Group and “River Publishers Series in Industrial Manufacturing and Systems Engineering”. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).

Dr. P Naga Srinivasu is Associate Professor in the Computer Science and Engineering Department at Amrita School of Computing, Amrita Vishwa Vidyapeetham, AP, India. He obtained his Bachelor’s degree in computer science engineering from SSIET, JNTU Kakinada (2011), and a Masters’s degree in computer science technology from GITAM University, Visakhapatnam (2013). He was awarded a doctoral degree by GITAM University for his thesis on Automatic Segmentation Methods for Volumetric Estimate of damaged Areas in Astrocytoma instances Identified from the 2D Brain MR Imaging. His fields of study include biomedical imaging, soft computing, explainable AI, and healthcare informatics. He has published numerous publications in reputed peer-reviewed journals and has edited book volumes with various publishers like Springer, Elsevier, IGI Global, and Bentham Science. He was an active reviewer for more than 40 journals indexed in Scopus and Web of Science. He also served as guest editor and technical advisory board member for various internationally reputed conferences.