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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 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 benefi
ts 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. .
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