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Related Experiment Videos

Linear Time Algorithms to Restrict Insider Access using Multi-Policy Access Control Systems.

Peter Mell1, James Shook1, Richard Harang2

  • 1National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899.

Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
|August 1, 2017
PubMed
Summary
This summary is machine-generated.

This study enhances Next Generation Access Control (NGAC) scalability by converting cubic algorithms to linear time graph algorithms. This improves access control efficiency and enables effective user privilege review, crucial for mitigating insider threats.

Keywords:
ABACNGACNISTPolicy MachineXaCMLaccess controlalgorithmscomplexitycomputer securitygraph theoryinsidersimultaneous instantiation

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Information Security

Background:

  • Access control mechanisms aim to limit information access but individual methods are often inadequate.
  • Ensemble approaches enhance security but face scalability challenges due to complex calculations.
  • Next Generation Access Control (NGAC) by ANSI is a promising but historically unscalable approach.

Purpose of the Study:

  • To demonstrate the scalability of the Next Generation Access Control (NGAC) approach.
  • To address the performance limitations of existing NGAC implementations.
  • To provide an efficient method for access control and user privilege review.

Main Methods:

  • Reformulated the set-theoretic NGAC standard into a graph-theoretic approach.
  • Applied standard graph algorithms to achieve linear time complexity for access control decisions.
  • Developed a novel, linear time visualization mechanism for user access rights.

Main Results:

  • Achieved linear time complexity for access control decision-making, significantly improving upon previous cubic algorithms.
  • Demonstrated efficient querying of user file accessibility and file access permissions.
  • Introduced a scalable visualization tool for reviewing access rights across ensemble access control policies.

Conclusions:

  • The graph-theoretic reformulation makes NGAC efficient and scalable.
  • The developed methods enable practical implementation of ensemble access control strategies.
  • This work facilitates the use of NGAC for mitigating insider threats through improved access control and visualization.