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Although the use of digital healthcare technology can enhance clinical outcomes and the standard of care, concerns over security and privacy still exist. Due to increased connectivity, healthcare systems are susceptible to cybersecurity threats. Cybercriminals steal health information and target medical devices, which results in breaches and ransomware attacks. New laws and regulations are required, along with adjustments to technology, methods, and human behaviour, to improve healthcare security. For intelligent healthcare, a study suggests a Bagging ensemble classifier that outperforms Random Forest in every test.

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Cybersecurity Framework for Prediction and Mitigation of Attacks in the Healthcare Systems

  • 会议论文

  • 发表日期：

    2025年

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  • C. Syamsundar Reddy,
  • G. Anjan Babu

摘要

Although the use of digital healthcare technology can enhance clinical outcomes and the standard of care, concerns over security and privacy still exist. Due to increased connectivity, healthcare systems are susceptible to cybersecurity threats. Cybercriminals steal health information and target medical devices, which results in breaches and ransomware attacks. New laws and regulations are required, along with adjustments to technology, methods, and human behaviour, to improve healthcare security. For intelligent healthcare, a study suggests a Bagging ensemble classifier that outperforms Random Forest in every test.