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A Framework for Context Sensitive Risk-Based Access Control in Medical Information Systems.

Donghee Choi1, Dohoon Kim2, Seog Park1

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This study introduces a context-sensitive, risk-based access control framework for medical systems. It dynamically adjusts data access based on context and treatment severity, enhancing security against insider threats.

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Area of Science:

  • Health Informatics
  • Computer Science
  • Information Security

Background:

  • The evolving access control environment necessitates robust security measures against insider threats.
  • Medical information systems require dynamic access control to protect sensitive data while enabling timely access during emergencies.

Purpose of the Study:

  • To propose a context-sensitive, risk-based access control approach and framework tailored for medical information systems.
  • To enhance the security of sensitive medical data against insider threats.
  • To enable dynamic access control based on contextual information and treatment needs.

Main Methods:

  • Categorization of context information relevant to medical scenarios.
  • Estimation and application of risk through context- and treatment-based permission profiling.
  • Expansion of the eXtensible Access Control Markup Language (XACML) to incorporate risk-based access control.

Main Results:

  • A novel framework for context-sensitive risk-based access control in medical information systems.
  • Dynamic access authorization decisions based on the severity of context and treatment.
  • Prevention of unnecessary insider data access.

Conclusions:

  • The proposed framework effectively addresses the need for dynamic, context-aware access control in medical settings.
  • It enhances the protection of sensitive medical information while supporting critical healthcare operations.
  • This approach improves response times in medical situations and mitigates insider data leakage risks.