Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to the challenges in real-word implementation. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security.

Key Features:

• Introduces the latest trends in the fields of machine learning, blockchain and cyber security
• Discusses the fundamentals, challenges and architectural overviews with concepts
• Explores recent advancements in machine learning, blockchain, and cyber security
• Examines recent trends in emerging technologies

This book is primarily aimed at graduates, researchers, and professionals working in the areas of machine learning, blockchain, and cyber security.

Table of Contents

Chapter 1: Intelligent Green Internet of Things:: An Investigation 

Chapter 2: T he Role of Artificial Intelligence in the Education Sector:: Possibilities and Challenges 

Chapter 3: Multidisciplinary Applications of Machine Learning 

Chapter 4: Prediction of Diabetics in the Early Stages Using Machine-Learning Tools and Microsoft Azure Al Services 

Chapter 5: Advanced Agricultural Systems:: Identification, Crop Yields and Recommendations Using Image-Processing Techniques and Machine-Learning Algorithms 

Chapter 6: SP-IMLA: Stroke Prediction Using an Integrated Machine-Learning Approach 

Chapter 7: Multi-Modal Medical Image Fusion Using Laplacian  Re-Decomposition 

Chapter 8: Blockchain Technology-Enabled Healthcare loT to Increase Security and Privacy Using Fog Computing 

Chapter 9: Blockchain in Healthcare, Supply-Chain Management, and Government Policies 

Chapter 10: Electricity and Hardware Resource Consumption in Cryptocurrency Mining 

Chapter 11: Cryptographic Hash Functions and Attack Complexity Analysis 

Chapter 12: Mixed Deep Learning and Statistical Approach to Network Anomaly Detection 

Chapter 13: Intrusion Detection System Using Deep Learning Asymmetric Autoencoder (DLM) 

About the Authors

Dr. Sarvesh Tanwar is an associate Pprofessor at Amity Institute of Information Technology (AIIT), Amity University, Noida, India. She is head of AUN Blockchain & Data Security Research Lab. She obtained her M.Tech (CSE) degree from MMU, Mullana and Ph.D in (CSE) from Mody University, Laxmangarh (Raj.). She has more than 15 years of teaching and research experience. Her area of research includes public key infrastructure (PKI), cryptography, blockchain, and cyber security. She has published more than 80 research papers in international journals and conferences. She is currently supervising six PhD students and has previously supervised five M.Tech research students. She has filed 18 patents and one copyright. She is senior member of IEEE, a life member, Cryptology Research Society of India (CRSI), Indian Institute of Statistics, Kolkata, India, and a member of the International Association of Computer Science and Information Technology (IACSIT), Singapore. She is reviewer of Journal of Cases on Information Technology (JCIT), IEEE Access, MDPI, Asian Research Journal of Mathematics and Indersciene, a member of editorial reviewer board of IJISP, IGI Global, USA. She is a member of the editorial board of the International Journal of Research in Science and Technology (IJRSTO), Ghaziabad, UP, Advances in Science, Technology and Engineering Systems Journal (ASTES), US and IAENG.

Dr. Sumit Badotra is currently working as an assistant professor in the School of Computer Science and Engineering, Lovely Professional University, Punjab, India. He has five years of research experience in software defined networks (SDN). During his PhD, he also worked as a junior research fellow on a project funded by the Government of India. He has published over 15 papers in SCI/Scopus/UGC approved journals and over 10 papers in reputed national/international conferences/book chapters. He has published two patents and filed eight patents in his fields of interest. He is an active reviewer for a number of journals including Supercomputing, IEEE Access, Cluster Computing, IJCS, and PlusOne. He is currently supervising two PhD and two M.Tech students.

Dr. Ajay Rana, a renowned educationist, researcher, teacher, innovator, strategist, and committed philanthropist, is the vice chancellor of Shobhit University, Meerut. He previously served Amity University, Uttar Pradesh, Noida for more than 20 years as dean, director, professor in Computer Science and Engineering and senior vice president (RBEF – A Trust of Amity), Amity Education Group. He obtained his M.Tech and PhD in computer science and engineering. His areas of interest include machine learning, the Internet of Things (IoT), augmented reality, software engineering, and soft computing. He has more than 72 patents to his name in the fields of IoT, networks, and sensors. He has published more than 300 research papers in reputed journals and national and international conferences, co-authored eight books, and co-edited 36 conference proceedings. Dr. Rana is the founding chair of AUN Research Labs, executive committee member of IEEE Uttar Pradesh Section, senior member of IEEE, and life member of the CSI and ISTE. He is also a member of the editorial board and review committee of several journals. Dr. Rana possesses deep organizational ethics and believes in holding the hand of every individual who wishes to succeed in life. Dr. Rana has organized over 500 conferences, workshops, faculty development programs, seminars and talks sponsored by IEEE, Springer, CSI, and others. He has won 243 awards in recognition of his work in education and research including Corona Warriors Award 2020, Life Time Achievement Award, Frontiers of Knowledge Award, Man of Academic Advisory Award, Icon of Healthcare Award, Med Achievers, Leadership Award BRICS – MSME, Most Influential 100 Directors of India, Educlusion Award Singapore, IT Next CIO, International WHO’S WHO USA, Italian Machine Tool Technology Award, and many more. He has been awarded an honorary professorship at ULAB Bangladesh. He is currently a member of the Consultative Group NEP 2020 CBSE, Ministry of Education, Government of India.