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AI-Driven Cybersecurity for Intelligent Healthcare Systems

Editat de Balamurugan Balusamy, Prithi Samuel, Sunita Chand, Mahmoud Ahmad Al-Khasawneh
en Limba Engleză Paperback – iun 2026
AI-Driven Cybersecurity for Intelligent Healthcare Systems explores the intersection between AI, cybersecurity, and healthcare. It offers detailed insights into the unique cybersecurity challenges faced by the healthcare sector and the role of AI in addressing these challenges. This book presents case studies and real-world applications to illustrate the effectiveness of these solutions. Additionally, it 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.

  • Includes case studies and real-world applications to illustrate the effectiveness of intelligent cybersecurity solutions
  • Discusses the increasing integration of artificial intelligence (AI) in healthcare systems, highlighting its role in enhancing medical diagnosis, treatment planning, and patient care
  • Focuses on advanced techniques for enhancing data security while maintaining patient privacy
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Specificații

ISBN-13: 9780443277610
ISBN-10: 0443277613
Pagini: 400
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE

Cuprins

1. Transforming healthcare cybersecurity from reactive to proactive: current status and future recommendations
2. Transforming healthcare: harnessing the power of AI in the modern era
3. Machine Learning-Enhanced Threat Intelligence for Advanced Cybersecurity
4. Security of blockchain and AI-empowered smart healthcare: application-based analysis
5. Artificial Intelligence of Internet of Medical Things (AIoMT) Cybersecurity for Smart Healthcare in Cities
6. Cybersecurity Strategies for Multi-Cloud Healthcare Using Deep Learning
7. Intelligent Access Control Solutions for Healthcare Cybersecurity
8. AI-driven threat detection and response: A paradigm shift in cybersecurity
9. Blockchain for healthcare: securing patient data and enabling trusted artificial intelligence
10. Deep Learning Techniques for Securing Data in Healthcare Applications
11. Chatbot Systems in Healthcare: AI Integration and Security Measures
12. Securing Healthcare IoT with Blockchain-Based Identity Management
13. A survey on smart medical wearables in the application of fitness
14. Recent advancements in emerging technologies for secure healthcare management Systems
15. Shaping the future of AI in healthcare through ethics and Governance