Machine learning, blockchain, and cyber security in smart environments : application and challenges /: application and challenges. (2022)

• Record Type: Book
• Further Information: Note: Edited by Sarvesh Tanwar, Sumit Badotra, Ajay Rana.
• Editors: Tanwar, Sarvesh; Badotra, Sumit; Rana, Ajay
• Contents: 1. Intelligent Green Internet of Things: An Investigation by Salil Bharany and Sandeep Sharma 2. The Roleof Artificial Intelligence in the Education Sector: Possibilities and Challenges by Riya Agarwal, Nancy Girdhar, and Alpana 3. Multidisciplinary Applications of Machine Learning by N. Gnanasankaran, G. Rakesh, and T. Manikumar 4. Prediction of Diabetics in the Early Stages Using Machine-Learning Tools and Microsoft Azure AI Services by Chandrashekhar Kumbhar and Abid Hussain 5. Advanced Agricultural Systems: Identification, Crop Yields and Recommendation Using Image Processing Techniques and Machine-Learning Algorithms by Avali Banerjee, Shobhandeb Paul, and Soumi Bhattacharya 6. SP-IMLA: Stroke Prediction Using an Integrated Machine-Learning Approach by Amit Kumar Bairwa, Satpal Singh Kushwaha, Vineeta Soni, Prashant Hemrajani, Sandeep Joshi, and Pulkit Sharma 7. Multimodal Medical Image Fusion Using Laplacian Re-Decomposition by K. Mohana Lakshmi and Suneetha Rikhari 8. Blockchain Technology-Enabled Healthcare IoT to Increase Security and Privacy Using Fog Computing by S.Gunasekaran, S. Shanmugam, D.Palanivel Rajan, and P Rontala 9. Blockchain in Healthcare, Supply-Chain Management, and Government Policies by Satpal Singh Kushwaha, Amit Kumar Bairwa, Sandeep Joshi, Sandeep Chaorasia, Prashant Hemrajani, and Kailash Kumar 10. Electricity and Hardware Resource Consumption in Cryptocurrency Mining by Lokesh Gundaboina, Sumit Badotra, and Gaurav Malik 11. Cryptographic Hash Functions and Attack Complexity Analysis by Amit Kumar Bairwa, Vineeta Soni, Prashant Hemrajani, Satpal Singh Kushwaha, and Manoj Kumar Bohra 12. Mixed Deep Learning and Statistical Approach to Network Anomaly Detection by Vineeta Soni, Siddhant Saxena, Devershi Pallavi Bhatt, Dr. Narendr a Singh Yadav, Amit Kumar Bairwa, Satpal Singh Kushwaha, and Sarada Prasad Gocchayat 13. Intrusion Detection System Using Deep Learning Asymmetric Autoencoder by Arjun Singh, and Surbhi Chauhan
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 006.3; Artificial intelligence -- Industrial applications; Computer networks -- Security measures; Machine learning; Blockchains (Databases)
• Languages: English
• ISBNs: 9781000623918; 9781000623826; 9781003240310
• Related ISBNs: 9781032146393
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.