Cybersecurity in emerging healthcare systems / edited by Agbotiname Lucky Imoize, Chandrashekhar Meshram, Joseph Bamidele Awotunde, Yousef Farhaoui and Dinh-Thuan Do.
| Format | Electronic |
| Publication | London, United Kingdom : Institution of Engineering and Technology, 2024. |
| Copyright Date | ©2024 |
| Description | 1 online resource (xxxix, 704 pages) : illustrations. |
| Supplemental Content | ProQuest Ebook Central |
| Subjects |
| Other author/creator | Imoize, Agbotiname Lucky, editor. |
| Other author/creator | Meshram, Chandrashekhar, editor. |
| Other author/creator | Awotunde, Joseph Bamidele, editor. |
| Other author/creator | Farhaoui, Yousef, editor. https://id.oclc.org/worldcat/entity/E39PCjJHy7BxkxyyfVRjDyJj3P |
| Other author/creator | Đ, Đnh ThuUn, editor. https://id.oclc.org/worldcat/entity/E39PCjGgx9XfWJf6GTJb8qf8qP. |
| Series | Healthcare technologies series ; 64 Healthcare technologies series ; 64. ^A1311833 |
| Abstract | Emerging healthcare networks are interconnected physical systems that use cyber technologies for interaction and functionality. The proliferation of massive internet-of-things (IoT) devices enables remote and distributed access to cutting-edge diagnostics and treatment options in modern healthcare systems. New security vulnerabilities are emerging due to the increasing complexity of the healthcare architecture, in particular, threats to medical devices and critical infrastructure pose significant concerns owing to their potential risks to patient health and safety. In recent times, patients have been exposed to high risks from attacks capable of disrupting critical medical infrastructure, communications facilities, and services, interfering with medical devices, or compromising sensitive user data. This book seeks to present cyber risk and vulnerability models, considering a number of threats and examining how effective regulations could help guarantee medical device fidelity and trust. The book discusses the application of artificial intelligence and machine learning to provide practical learning-based solutions to address cyberattacks in emerging healthcare systems. The book focuses on the technical considerations, potential opportunities, critical cybersecurity challenges, the prospects and potential benefits of cybersecurity in emerging healthcare systems. Finally, the book presents case studies, highlighting critical lessons, and providing recommendations for designing AI-based cybersecurity architectures for emerging healthcare systems. Written by an international team of authors, this book is suitable for an audience of industry-based and academic researchers, scientists, and computer engineers working in data science, cybersecurity and wireless communications particularly those specialising in healthcare data science and those in related fields. |
| Bibliography note | Includes bibliographical references and index. |
| Source of description | Online resource (IET Digital Library, viewed on August 28, 2024). |
| Issued in other form | Print version: Cybersecurity in emerging healthcare systems. Londoin : Institution of Engineering and Technology, 2024 1839539518 9781839539510 |
| ISBN | 9781839539527 (PDF) |
| ISBN | (hardback) |
| ISBN | (hardback) |
| ISBN | 1839539526 (PDF) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |