Explores a plethora of blockchain-based solutions for big data and IoT real-world applications in several sectors, including higher education, cybersecurity, agriculture, business and management, healthcare and biomedical science, construction and project management, smart city development, and others.
Auteur
Arun Solanki, PhD, is an Assistant Professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India, where he has also held various additional roles over the years. He is the Co-Convener of the Center of Excellence in Artificial Intelligence. He has supervised more than 60 MTech dissertations. His research interests span expert systems, machine learning, and search engines. He has published many research articles in SCI/Scopus-indexed international journals and has participated at many international conferences. He has been a technical and advisory committee member of many conferences and has chaired and organized many sessions at international conferences, workshops, and seminars. Dr. Solanki is working as Associate Editor for the International Journal of Web-Based Learning and Teaching Technologies (IJWLTT). He has also been working as a guest editor for special issues in Recent Patents on Computer Science. Dr. Solanki is the editor of many books and is working as the reviewer for journals published by Springer, IGI Global, Elsevier, and others. He received his MTech degree in computer engineering from YMCA University, Faridabad, Haryana, India. He earned his PhD in Computer Science and Engineering from Gautam Buddha University, Greater Noida, India.
Vishal Jain, PhD, is presently working as an Associate Professor at the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P., India. Before that, he worked for several years as an Associate Professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in the academics. He has earned several degrees: PhD (CSE), MTech (CSE), MBA (HR), MCA, MCP, and CCNA. He has more than 370 research citations with Google Scholar (h-index score 9 and i-10 index 9) and has authored more than 70 research papers in professional journals and conferences. He has authored and edited more than 10 books with various reputed publishers, including Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012-13 from the Computer Society of India, and Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.
Loveleen Gaur, PhD, is Professor and Program Director (Artificial Intelligence and Business Intelligence and Data Analytics) at Amity International Business School, Amity University, Noida, India. She is also a senior IEEE member and series editor. An established author and researcher, she has filed three patents in the area of IoT. For over 18 years she served in India and abroad in different capacities. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in over 300 scientific conferences, symposia, and seminars; by chairing technical sessions; and by delivering plenary and invited talks. She has specialized in the fields of information sciences IoT, data analytics, e-commerce and e-business, data mining, and business intelligence. Prof. Gaur has authored and co-authored around 10 books with Elsevier, Springer, and Taylor and Francis. She is invited as a guest editor for Springer NASA journals and Emerald Q1 journals. She has chaired various committees for international conferences and is a reviewer with IEEE, SCI, and ABDC journals. She is actively involved in various projects of the Government of India and abroad. She has been honored with prestigious national and international awards, such as the Senior Women Educator & Scholar Award by the National Foundation for Entrepreneurship Development on Women's Day, the Sri Ram Award from the Delhi Management Association (DMA), and a Distinguished Research Award by Allied Academies, which was presented in Jacksonville, Florida, and an Outstanding Research Contributor award by Amity University.
Texte du rabat
Applications of Blockchain and Big IoT Systems: Digital Solutions for Diverse Industries explores a plethora of blockchain-based solutions for big data and IoT applications. It explores a variety of advances in real-world applications in several sectors, including higher education, cybersecurity, agriculture, business and management, healthcare and biomedical science, construction and project management, smart city development, and others.
Chapters explore emerging technology to combat the ever-increasing threat of security to computer systems and offer new architectural solutions for problems encountered in data management and security. The chapters help to provide a high level of understanding of various blockchain algorithms, along with the necessary tools and techniques. The novel architectural solutions in the deployment of blockchain presented here are the core of the book.
The authors of this volume, from both research and academia, present valuable knowledge about the use of blockchain, big data, and IoT, exploring them from multiple perspectives. The chapters in this book are well written, easy to understand, and technically rich. This book will be an informative resource for data scientists, blockchain engineers, big data engineers, and analytics managers as well as for researchers, faculty, and advanced students in this field of study.
Contenu
PART I: BLOCKCHAIN MECHANISMS FOR IoT SECURITY
Key Drivers of Blockchain Technology for Business Transformation Shivani A. Trivedi and Okuogume Anthony