Internet of Healthcare Things (eBook)

Machine Learning for Security and Privacy

Kavita Sharma, Yogita Gigras, D. Jude Hemanth, Ramesh Chandra Poonia (Herausgeber)

eBook Download: PDF

2022 | 1. Auflage
304 Seiten
John Wiley & Sons (Verlag)
978-1-119-79245-1 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 28.1.2022
• Reihe/Serie: Machine Learning in Biomedical Science and Healthcare Informatics
• Reihe/Serie: Machine Learning in Biomedical Science and Healthcare Informatics
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Medizin / Pharmazie ► Gesundheitsfachberufe
• Themenwelt: Medizin / Pharmazie ► Medizinische Fachgebiete
• Themenwelt: Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
• Themenwelt: Technik ► Medizintechnik
• Schlagworte: biomedical engineering • Biomedizintechnik • Client/Server-Technologie • Client/Server Technologies • Computer Science • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Healthcare • Informatik • Intelligente Systeme u. Agenten • Intelligent Systems & Agents • IOT • Maschinelles Lernen • Medical Informatics & Biomedical Information Technology • Medizininformatik u. biomedizinische Informationstechnologie
• ISBN-10: 1-119-79245-2 / 1119792452
• ISBN-13: 978-1-119-79245-1 / 9781119792451