Abstract
Since the access control environment has changed and the threat of insider information leakage has come to the fore, studies on risk-based access control models that decide access permissions dynamically have been conducted vigorously. Medical information systems should protect sensitive data such as medical information from insider threat and enable dynamic access control depending on the context such as life-threatening emergencies. In this paper, we suggest an approach and framework for context sensitive risk-based access control suitable for medical information systems. This approach categorizes context information, estimating and applying risk through context- and treatment-based permission profiling and specifications by expanding the eXtensible Access Control Markup Language (XACML) to apply risk. The proposed framework supports quick responses to medical situations and prevents unnecessary insider data access through dynamic access authorization decisions in accordance with the severity of the context and treatment.
Highlights
Rapid changes and developments to computer information systems have brought about various changes in medical environments
Radiofrequency identification (RFID), ubiquitous sensor networks (USN), and wired/wireless networks have since become integrated into medical environments, improving accessibility and convenience
The access control model used in traditional Medical Information systems (MISs) decides whether access is granted according to predefined permissions
Summary
Rapid changes and developments to computer information systems have brought about various changes in medical environments. Risk-based access control evaluates risk by considering the access request environment and situation [6], along with the security policies, and decides the access permissions according to a threshold, below which there is an acceptable level of risk [7, 8] This manner for deciding access permissions makes dynamic access control possible by reflecting the nature of the situation and by preventing unnecessary information access and leakage caused by the misuse and abuse of data by insiders [9]. For access control that reflects the features of an MIS, this paper proposes a context sensitive access control framework that evaluates and applies risk through treatment-based permission profiling.
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