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A Cyber Risk Assessment Approach to Federated Identity Management Framework-Based Digital Healthcare System.

Shamsul Huda1, Md Rezaul Islam2, Jemal Abawajy1

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Summary
This summary is machine-generated.

This study introduces a new cyber-risk assessment for connected medical devices and systems using Federated Identity Management. It enhances patient safety by identifying and mitigating cyber threats in digital healthcare environments.

Keywords:
Federated Identity ManagementMedical Cyber Physical SystemsOAuth vulnerabilitiesSAMLcyber risk assessment

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Area of Science:

  • Cybersecurity in Healthcare
  • Medical Device Security
  • Digital Health Systems

Background:

  • Collaborative digital healthcare systems using Medical Cyber Physical Systems (MCPS) and Internet-of-Medical Devices (IoMT) offer benefits but introduce significant security challenges.
  • Vulnerabilities in Federated Identity Management (FIM) and inherent weaknesses in IoMT devices create critical risks for sensitive healthcare data and patient safety.
  • The interconnected nature of these systems necessitates a robust approach to cyber-risk assessment to prevent potentially life-threatening cyber attacks.

Purpose of the Study:

  • To propose a novel, comprehensive, and evidence-based cyber-risk assessment approach tailored for FIM-enabled MCPS and IoMT healthcare systems.
  • To address the unique security challenges posed by the convergence of IT infrastructure, medical devices, and FIM protocols in digital healthcare.
  • To provide a framework for prioritizing and mitigating cyber risks to enhance the overall resilience of digital healthcare systems.

Main Methods:

  • A three-dimensional attack landscape analysis was employed, examining IT infrastructure, medical devices, and FIM protocols.
  • The approach integrates established standards such as Cyber Resilience Review (CRR) for asset management and NIST SP 800-30 for risk assessment.
  • Validation was performed using threat modeling techniques, including attack trees and detailed attack sequence diagrams on diverse IoMT and MCPS devices.

Main Results:

  • The developed approach provides evidence-based cyber-risk assessments by analyzing interconnected vulnerabilities across healthcare IT, medical devices, and FIM.
  • Tailored security controls are recommended to effectively prioritize and mitigate identified critical risks, thereby enhancing system resilience.
  • Threat modeling and attack sequence diagrams demonstrated the practical application and validation of the assessment methodology on various vendor devices.

Conclusions:

  • The proposed cyber-risk assessment approach offers a structured method for safeguarding digital healthcare systems against sophisticated cyber threats.
  • Implementing the recommended security controls supports healthcare providers in improving patient safety and medical device security management.
  • This research contributes to building more resilient and secure FIM-enabled healthcare ecosystems, crucial for modern digital health delivery.