Safety Analysis in the NGAC Model

Fuente: arXiv
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Bibliographic Details
Main Authors: Tan, Brian, Davies, Ewan S. D., Ray, Indrakshi, Abdelgawad, Mahmoud A.
Format: Preprint
Published: 2025
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_version_ 1866912371388186624
author Tan, Brian
Davies, Ewan S. D.
Ray, Indrakshi
Abdelgawad, Mahmoud A.
author_facet Tan, Brian
Davies, Ewan S. D.
Ray, Indrakshi
Abdelgawad, Mahmoud A.
contents We study the safety problem for the next-generation access control (NGAC) model. We show that under mild assumptions it is coNP-complete, and under further realistic assumptions we give an algorithm for the safety problem that significantly outperforms naive brute force search. We also show that real-world examples of mutually exclusive attributes lead to nearly worst-case behavior of our algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2505_06406
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Safety Analysis in the NGAC Model
Tan, Brian
Davies, Ewan S. D.
Ray, Indrakshi
Abdelgawad, Mahmoud A.
Computational Complexity
Cryptography and Security
Computer Science and Game Theory
We study the safety problem for the next-generation access control (NGAC) model. We show that under mild assumptions it is coNP-complete, and under further realistic assumptions we give an algorithm for the safety problem that significantly outperforms naive brute force search. We also show that real-world examples of mutually exclusive attributes lead to nearly worst-case behavior of our algorithm.
title Safety Analysis in the NGAC Model
topic Computational Complexity
Cryptography and Security
Computer Science and Game Theory
url https://arxiv.org/abs/2505.06406