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.

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Yes, you can access Machine Learning, Blockchain, and Cyber Security in Smart Environments by Sarvesh Tanwar, Sumit Badotra, Ajay Rana in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Chapman and Hall/CRC

Year

2022

ISBN

9781000623918

Edition

Topic

Computer Science

Subtopic

Data Mining

Index

Computer Science

Cover Page
Half Title page
Series Page
Title Page
Copyright Page
Contents
Preface
Editors
Contributors
Introduction
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 Diabetics in the Early Stages Using Machine-Learning Tools and Microsoft Azure AI Services
5 Advanced Agricultural Systems: Identification, Crop Yields and Recommendations Using Image-Processing Techniques and Machine-Learning Algorithms
6 SP-IMLA: Stroke Prediction Using an Integrated Machine-Learning Approach
7 Multi-Modal 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 (DLAA)
Index