• AI-Driven Cybersecurity in E-Health Systems - a conversation

  • 2024/12/04
  • 再生時間： 17 分
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AI-Driven Cybersecurity in E-Health Systems - a conversation

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  • checkout this interesting paper as a hosted conversation

    Summary

    This research paper examines the security and privacy challenges within e-health systems, exploring their evolution from paper-based records to advanced AI-driven systems. The authors discuss the increasing cyber threats targeting these systems, including hacking and ransomware attacks, and analyze vulnerabilities in cloud computing, EHRs, and the IoMT. The paper then explores AI and machine learning techniques for threat detection and prevention, emphasizing privacy-preserving methods like federated learning and differential privacy. Finally, it looks at future research directions, including quantum-resistant encryption and ethical AI development, to build more secure and resilient healthcare infrastructures.
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checkout this interesting paper as a hosted conversation

Summary

This research paper examines the security and privacy challenges within e-health systems, exploring their evolution from paper-based records to advanced AI-driven systems. The authors discuss the increasing cyber threats targeting these systems, including hacking and ransomware attacks, and analyze vulnerabilities in cloud computing, EHRs, and the IoMT. The paper then explores AI and machine learning techniques for threat detection and prevention, emphasizing privacy-preserving methods like federated learning and differential privacy. Finally, it looks at future research directions, including quantum-resistant encryption and ethical AI development, to build more secure and resilient healthcare infrastructures.
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