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      Internet of Healthcare Things: Machine Learning for Security and Privacy

      1 in stock

      Firm sale: non returnable item
      SKU 9781119791768 Categories ,
      INTERNET OF HEALTHCARE THINGS The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fas...

      £187.95

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      Description

      Product ID:9781119791768
      Product Form:Hardback
      Country of Manufacture:US
      Series:Machine Learning in Biomedical Science and Healthcare Informatics
      Title:Internet of Healthcare Things
      Subtitle:Machine Learning for Security and Privacy
      Authors:Author: D. Jude Hemanth, Yogita Gigras, Vishnu Sharma, Ramesh Chandra Poonia, Kavita Sharma
      Page Count:304
      Subjects:Biomedical engineering, Biomedical engineering, Machine learning, Machine learning
      Description:INTERNET OF HEALTHCARE THINGS The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making. The main objective of this book is to motivate healthcare providers to use telemedicine facilities for monitoring patients in urban and rural areas and gather clinical data for further research. To this end, it provides an overview of the Internet of Healthcare Things (IoHT) and discusses one of the major threats posed by it, which is the data security and data privacy of health records. Another major threat is the combination of numerous devices and protocols, precision time, data overloading, etc. In the IoHT, multiple devices are connected and communicate through certain protocols. Therefore, the application of emerging technologies to mitigate these threats and provide secure data communication over the network is discussed. This book also discusses the integration of machine learning with the IoHT for analyzing huge amounts of data for predicting diseases more accurately. Case studies are also given to verify the concepts presented in the book. Audience Researchers and industry engineers in computer science, artificial intelligence, healthcare sector, IT professionals, network administrators, cybersecurity experts.
      Imprint Name:Wiley-Scrivener
      Publisher Name:John Wiley & Sons Inc
      Country of Publication:GB
      Publishing Date:2022-03-11

      Additional information

      Weight564 g
      Dimensions161 × 458 × 23 mm