9781032438795-1032438797-Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things (Artificial Intelligence (AI): Elementary to Advanced Practices)

Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things (Artificial Intelligence (AI): Elementary to Advanced Practices)

ISBN-13: 9781032438795
ISBN-10: 1032438797
Edition: 1
Author: Vijender Kumar Solanki, Valentina Emilia Balas, Agbotiname Lucky Imoize, Cheng-Chi Lee
Publication date: 2023
Publisher: CRC Press
Format: Hardcover 508 pages
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Book details

ISBN-13: 9781032438795
ISBN-10: 1032438797
Edition: 1
Author: Vijender Kumar Solanki, Valentina Emilia Balas, Agbotiname Lucky Imoize, Cheng-Chi Lee
Publication date: 2023
Publisher: CRC Press
Format: Hardcover 508 pages

Summary

Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things (Artificial Intelligence (AI): Elementary to Advanced Practices) (ISBN-13: 9781032438795 and ISBN-10: 1032438797), written by authors Vijender Kumar Solanki, Valentina Emilia Balas, Agbotiname Lucky Imoize, Cheng-Chi Lee, was published by CRC Press in 2023. With an overall rating of 3.6 stars, it's a notable title among other books. You can easily purchase or rent Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things (Artificial Intelligence (AI): Elementary to Advanced Practices) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $16.19.

Description

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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