Machine Learning, Blockchain, and Cyber Security in Smart Environments: Application and Challenges

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Sarvesh Tanwar (Amity Institute of Information Technology, Amity University, India) Sumit Badotra

Machine Learning, Blockchain, and Cyber Security in Smart Environments

Application and Challenges

Sarvesh Tanwar (Amity Institute of Information Technology, Amity University, India), Sumit Badotra, Ajay Rana

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English

Chapman & Hall/CRC
04 October 2024

E-commerce: business aspects; Distributed databases; Network security; Artificial intelligence; Machine learning

Series: Chapman & Hall/CRC Cyber-Physical Systems

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.

Edited by: Sarvesh Tanwar (Amity Institute of Information Technology Amity University India), Sumit Badotra, Ajay Rana
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9781032146416
ISBN 10: 1032146419
Series: Chapman & Hall/CRC Cyber-Physical Systems
Pages: 220
Publication Date: 04 October 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Forthcoming

1. Intelligent Green Internet of Things: An Investigation. 2. The Role of Artificial Intelligence in the Education Sector: Possibilities and Challenges. 3. Multidisciplinary Applications of Machine Learning. 4. Prediction of Diabetes in the Early Stages using Machine-Learning Tools and Microsoft Azure AI Services. 5. Advanced Agricultural Systems: Identification, Crop Yields and Recommendation using Image Processing Techniques and Machine-Learning Algorithms. 6. SP-IMLA: Stroke Prediction using an Integrated Machine Learning Approach. 7. Multimodal Medical Image Fusion using Laplacian Re-Decomposition. 8. Blockchain Technology-Enabled Healthcare IoT to Increase Security and Privacy Using Fog Computing. 9. Blockchain in Healthcare, Supply-Chain Management, and Government Policies. 10. Electricity and Hardware Resource Consumption in Cryptocurrency Mining. 11. Cryptographic Hash Functions and Attack Complexity Analysis. 12. Mixed Deep Learning and Statistical Approach to Network Anomaly Detection. 13. Intrusion Detection System Using Deep Learning Asymmetric Autoencoder

Sarvesh Tanwar, Sumit Badotra, Ajay Rana