The fast-growing number of patients suffering from various ailments has overstretched the carrying capacity of traditional healthcare systems. This handbook addresses the increased need to tackle security issues and preserve patients privacy concerns in Artificial Intelligence of Medical Things (AIoMT) devices and systems.
Handbook of Security and Privacy of AI-Enabled Healthcare Systems and the Internet of Medical Things
provides new insights into the deployment, application, management, and benefits of AIoMT by examining real-world scenarios. The handbook takes a critical look at existing security designs and offers solutions to revamp traditional security architecture, including the new design of effi cient intrusion detection algorithms, attack prevention techniques, and both cryptographic and noncryptographic solutions. The handbook goes on to discuss the critical security and privacy issues that affect all parties in the healthcare ecosystem and provides practical AI-based solutions.
This handbook offers new and valuable information that will be highly beneficial to educators, researchers, and others.
