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Machine Learning, Blockchain, and Cyber Security in Smart Environments: Application and Challenges [Kõva köide]

Edited by , Edited by , Edited by (Amity Institute of Information Technology, Amity University, India)
  • Formaat: Hardback, 220 pages, kõrgus x laius: 254x178 mm, kaal: 589 g, 26 Tables, black and white; 82 Line drawings, black and white; 42 Halftones, black and white; 124 Illustrations, black and white
  • Sari: Chapman & Hall/CRC Cyber-Physical Systems
  • Ilmumisaeg: 31-Aug-2022
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 1032146397
  • ISBN-13: 9781032146393
Teised raamatud teemal:
Machine Learning, Blockchain, and Cyber Security in Smart Environments: Application and ChallengesSuurem pilt
  • Formaat: Hardback, 220 pages, kõrgus x laius: 254x178 mm, kaal: 589 g, 26 Tables, black and white; 82 Line drawings, black and white; 42 Halftones, black and white; 124 Illustrations, black and white
  • Sari: Chapman & Hall/CRC Cyber-Physical Systems
  • Ilmumisaeg: 31-Aug-2022
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 1032146397
  • ISBN-13: 9781032146393
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781032146393.html
Märksõnad:
"Machine Learning, Cyber Security and Blockchain in Smart Environment: Application and Challenges provides a deep insight into the recent techniques which form the backbone of smart environment such as Artificial Intelligence, Blockchain, Cyber Security,Machine Learning and Fog Computing, and addresses the vulnerabilities that cause hindrance for the real-world implementation. This book is designed for university students and researchers to impart knowledge about cutting-edge technologies that deliver vast amount of information seamlessly and provides considerable visibility about real time problems that need to be addressed. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security. This book is primarily aimed at graduates, researchers and professionals working in the areas of machine learning, blockchain and cyber security"--

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.

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