Machine Learning, Blockchain, and Cyber Security in Smart Environments (eBook, ePUB)

Application and Challenges
Redaktion: Tanwar, Sarvesh; Rana, Ajay; Badotra, Sumit

• Format: ePub

Produktbeschreibung

This book provides a deep insight into the recent techniques which form the backbone of smart environment and addresses the vulnerabilities that cause hindrance for the real-world implementation. It focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 234
• Erscheinungstermin: 31. August 2022
• Englisch
• ISBN-13: 9781000623918
• Artikelnr.: 64437479

Autorenporträt

Sarvesh Tanwar, Sumit Badotra, Ajay Rana

Inhaltsangabe

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