Smart Healthcare System Design by Debabrata Samanta
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Smart Healthcare System Design

Smart Healthcare System Design


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About the Book

SMART HEALTHCARE SYSTEM DESIGN

This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems.

The Internet-of-Things (IoT) has emerged as a powerful and promising technology, and though it has significant technological, social, and economic impacts, it also poses new security and privacy challenges. Compared with the traditional internet, the IoT has various embedded devices, mobile devices, a server, and the cloud, with different capabilities to support multiple services. The pervasiveness of these devices represents a huge attack surface and, since the IoT connects cyberspace to physical space, known as a cyber-physical system, IoT attacks not only have an impact on information systems, but also affect physical infrastructure, the environment, and even human security.

The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications, and to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions. The 14 separate chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, implementation issues, as well as several case studies.

Smart Healthcare System Design covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus is on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations.

Audience: Researchers and industry engineers in information technology, artificial intelligence, cyber security, as well as designers of healthcare systems, will find this book very valuable.
About the Author:

SK Hafizul Islam received his PhD degree in Computer Science and Engineering in 2013 from the Indian Institute of Technology [IIT (ISM)] Dhanbad, Jharkhand, India. He is an assistant professor in the Department of Computer Science and Engineering, Indian Institute of Information Technology Kalyani (IIIT Kalyani), West Bengal, India. He has authored or coauthored 110 research papers in journals and conference proceedings.

Debabrata Samanta is an assistant professor in the Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India. He obtained his PhD in Computer Science and Engg. from the National Institute of Technology, Durgapur, India, in the area of SAR Image Processing. He is the owner of 17 Indian patents and has authored and coauthored more than 135 research papers in international journals.


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Product Details
  • ISBN-13: 9781119791683
  • Publisher: Wiley
  • Publisher Imprint: Wiley-Scrivener
  • Height: 235 mm
  • No of Pages: 384
  • Series Title: Advances in Learning Analytics for Intelligent Cloud-Iot Systems
  • Sub Title: Security and Privacy Aspects
  • Width: 161 mm
  • ISBN-10: 1119791685
  • Publisher Date: 03 Aug 2021
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 25 mm
  • Weight: 734 gr


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