Machine Learning, Blockchain, and Cyber Security in Smart Environments: Application and Challenges: Chapman & Hall/CRC Cyber-Physical Systems
Editat de Sarvesh Tanwar, Sumit Badotra, Ajay Ranaen Limba Engleză Paperback – 4 oct 2024
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
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Specificații
ISBN-13: 9781032146416
ISBN-10: 1032146419
Pagini: 234
Ilustrații: 248
Dimensiuni: 178 x 254 mm
Greutate: 0.43 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Cyber-Physical Systems
Locul publicării:Boca Raton, United States
ISBN-10: 1032146419
Pagini: 234
Ilustrații: 248
Dimensiuni: 178 x 254 mm
Greutate: 0.43 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Cyber-Physical Systems
Locul publicării:Boca Raton, United States
Public țintă
Academic, Postgraduate, Professional, and Undergraduate AdvancedCuprins
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
Notă biografică
Sarvesh Tanwar, Sumit Badotra, Ajay Rana
Descriere
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.