Machine Learning, Blockchain, and Cyber Security in Smart Environments

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anomaly detection methods
Artificial Intelligence
Blockchain Technology
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Cellular Automata
Convolutional Kernel
Convolutional Layers
Cryptocurrency
cryptographic analysis
Cyber Physical System
Data Sets
Deep Neural Network Models
DHT.
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Fog Computing
fog computing healthcare applications
Hash Functions
image fusion techniques
intelligent systems
IoT Device
LP
medical data security
Microsoft Azure
Ml Algorithm
MLP Model
Network Anomaly Detection
Neural Network
Pcap File
Power Consumption
Privacy
privacy preservation
Random Forest
Random Forest Classifier
Random Forest Implementation
RF Model
Supply Chain
SVM Classification Algorithm
SVM Output
Weka Tool

Product details

  • ISBN 9781032146393
  • Weight: 589g
  • Dimensions: 178 x 254mm
  • Publication Date: 31 Aug 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Sarvesh Tanwar, Sumit Badotra, Ajay Rana