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AI-Driven Cybersecurity for Intelligent Healthcare Systems
AI-Driven Cybersecurity for Intelligent Healthcare Systems
Knygos.lt klubas Knygos.lt nariams
247,79 €
-30%
Įprastai
353,99 €
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AI-Driven Cybersecurity for Intelligent Healthcare Systems explores the intersection between AI, cybersecurity, and healthcare. The book offers detailed insights into the unique cybersecurity challenges faced by the healthcare sector and the role of AI in addressing these challenges. It presents case studies and real-world applications to illustrate the effectiveness of these solutions and highlights the significance of data privacy in healthcare and methods to ensure secure data sharing and st…
  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 400
  • ISBN-10: 0443277613
  • ISBN-13: 9780443277610
  • Formatas: x x cm, minkšti viršeliai
  • Kalba: Anglų

AI-Driven Cybersecurity for Intelligent Healthcare Systems (el. knyga) (skaityta knyga) | knygos.lt

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AI-Driven Cybersecurity for Intelligent Healthcare Systems explores the intersection between AI, cybersecurity, and healthcare. The book offers detailed insights into the unique cybersecurity challenges faced by the healthcare sector and the role of AI in addressing these challenges. It presents case studies and real-world applications to illustrate the effectiveness of these solutions and highlights the significance of data privacy in healthcare and methods to ensure secure data sharing and storage. Topics such as federated learning, homomorphic encryption, and blockchain technology are covered to demonstrate how AI can enhance data security without compromising patient privacy.

This book will be an essential resource for anyone involved in the healthcare industry, offering practical solutions and fostering a more in-depth understanding of how AI can revolutionize cybersecurity in healthcare.

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  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 400
  • ISBN-10: 0443277613
  • ISBN-13: 9780443277610
  • Formatas: x x cm, minkšti viršeliai
  • Kalba: Anglų

AI-Driven Cybersecurity for Intelligent Healthcare Systems explores the intersection between AI, cybersecurity, and healthcare. The book offers detailed insights into the unique cybersecurity challenges faced by the healthcare sector and the role of AI in addressing these challenges. It presents case studies and real-world applications to illustrate the effectiveness of these solutions and highlights the significance of data privacy in healthcare and methods to ensure secure data sharing and storage. Topics such as federated learning, homomorphic encryption, and blockchain technology are covered to demonstrate how AI can enhance data security without compromising patient privacy.

This book will be an essential resource for anyone involved in the healthcare industry, offering practical solutions and fostering a more in-depth understanding of how AI can revolutionize cybersecurity in healthcare.

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