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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Published on: September 20, 2018

Ontology based log content extraction engine for a posteriori security control.

Hanieh Azkia1, Nora Cuppens-Boulahia, Frédéric Cuppens

  • 1IT/Telecom Bretagne, Cesson Sévigné, France. hanieh.azkia@telecom-bretagne.eu

Studies in Health Technology and Informatics
|August 10, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces an ontology model for a posteriori access control using IHE-ATNA logs. It simplifies extracting audit trail data for security compliance and accountability.

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Area of Science:

  • Computer Science
  • Information Security
  • Health Informatics

Background:

  • A posteriori access control requires users to be accountable for actions, often necessitating evidence from log files.
  • Existing frameworks face challenges in extracting relevant information from diverse log formats.
  • The Integrating the Healthcare Enterprise-Audit Trail and Node Authentication (IHE-ATNA) format is a common standard for audit logging.

Purpose of the Study:

  • To define and enforce a log filtering engine for a posteriori access control.
  • To simplify the extraction of useful information from IHE-ATNA formatted log data.
  • To enhance the effectiveness and ease of a posteriori security controls.

Main Methods:

  • Development of an ontology model based on the IHE-ATNA log format.
  • Querying the ontology model using SPARQL to extract specific audit data.
  • Implementation of a log filtering engine leveraging the ontology.

Main Results:

  • Successfully defined and enforced a log filtering function using an IHE-ATNA based ontology.
  • Demonstrated the ability to extract essential information regardless of log format complexities.
  • Showcased how the developed function improves the efficacy of a posteriori security controls.

Conclusions:

  • An IHE-ATNA based ontology model and SPARQL queries effectively facilitate a posteriori access control.
  • The proposed approach simplifies audit data extraction, enhancing security and accountability in healthcare IT.
  • This method makes a posteriori security controls more manageable and robust.