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Attribute-Based Access Control (ABAC) policies may have unintended consequences due to object attribute semantics. This research distinguishes two ABAC semantics, highlighting risks and proposing solutions for secure access control.

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Area of Science:

  • Computer Science
  • Information Security
  • Access Control Systems

Background:

  • Attribute-Based Access Control (ABAC) offers dynamic, flexible, portable, and scalable security.
  • Current ABAC models assume hierarchical inheritance where access to a general object implies access to its subtypes.
  • This assumption can lead to security vulnerabilities when specific data is more sensitive than general data.

Purpose of the Study:

  • To challenge the conventional understanding of ABAC semantics.
  • To differentiate between two distinct ABAC semantics based on object attribute interpretation.
  • To identify and address potential security misconfigurations arising from these semantics.

Main Methods:

  • Conceptual analysis of ABAC semantics.
  • Development of concrete examples illustrating the two identified semantics.
  • Empirical and anecdotal evidence of security risks associated with current ABAC implementations.
  • Proposal of modifications to existing ABAC algorithms for enhanced security.

Main Results:

  • Identified two distinct ABAC semantics based on object attribute interpretation.
  • Demonstrated that the conventional understanding of hierarchical inheritance can be inappropriate and lead to security breaches.
  • Empirically and anecdotally validated the risks of misinterpreting ABAC semantics.
  • Proposed modifications to existing algorithms to prevent misconfigurations and ensure security.

Conclusions:

  • The standard interpretation of ABAC semantics is not universally applicable.
  • Ignoring the nuances of object attribute semantics can lead to significant security flaws.
  • Modified ABAC algorithms are necessary to ensure robust security and prevent misconfigurations in diverse scenarios.