Internet of Healthcare Things - Machine Learning for Security and Privacy

The book discusses privacy and security issues in the Internet of Healthcare Things (IoHT) and provides solutions through authentication and authorization mechanisms, blockchain, fog computing, and machine learning algorithms. It motivates healthcare providers to use telemedicine facilities for monitoring patients and gathering clinical data. It also discusses the integration of machine learning with the IoHT for analyzing huge amounts of data for predicting diseases.

Format: Hardback
Length: 304 pages
Publication date: 11 March 2022
Publisher: John Wiley & Sons Inc

The Internet of Healthcare Things (IoHT) is a rapidly evolving technology that has the potential to revolutionize the healthcare industry. It refers to the network of physical devices, such as sensors, medical implants, and wearable technology, that are connected to the internet and can collect and share healthcare data. This technology has the potential to improve patient care, reduce healthcare costs, and enhance the efficiency of healthcare providers.

However, with the growth of the IoHT comes concerns about privacy and security. Healthcare data is sensitive and personal, and it is essential to ensure that it is protected from unauthorized access, manipulation, and theft. This book addresses these issues by providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, and other emerging technologies.

Authentication and authorization mechanisms are used to ensure that only authorized individuals can access healthcare data. Blockchain is a distributed ledger technology that can be used to create a secure and tamper-proof record of healthcare data transactions. Fog computing is a distributed computing architecture that can be used to process and store healthcare data in a decentralized manner, reducing the risk of data breaches. Machine learning algorithms can be used to analyze healthcare data and identify patterns that can help predict diseases and improve patient care.

Another major threat posed by the IoHT is the combination of numerous devices and protocols. 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.

The audience for this book includes researchers and industry engineers in computer science, artificial intelligence, healthcare sector, IT professionals, network administrators, and cybersecurity experts. This book provides a comprehensive overview of the IoHT and its potential benefits and challenges. It is an essential resource for anyone interested in developing and implementing IoHT technologies in healthcare.

In conclusion, the Internet of Healthcare Things (IoHT) is a rapidly evolving technology that has the potential to revolutionize the healthcare industry. However, with the growth of the IoHT comes concerns about privacy and security. This book provides solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, and other emerging technologies. It is an essential resource for anyone interested in developing and implementing IoHT technologies in healthcare.

Weight: 560g
Dimension: 241 x 152 x 24 (mm)
ISBN-13: 9781119791768