Using Chinese Natural Language to Configure Authorization Policies in Attribute-Based Access Control System

Autor:	Zhuoxiang Shen, Chuanyin Wang, Min Li, Zeyi Liu, Neng Gao
Rok vydání:	2021
Předmět:	Flexibility (engineering) Parsing Information retrieval business.industry Computer science Data management Access control computer.software_genre Semantics Key (cryptography) business computer Natural language Sentence
Zdroj:	Science of Cyber Security ISBN: 9783030891367 SciSec
DOI:	10.1007/978-3-030-89137-4_8
Popis:	In recent years, attribute-based access control (ABAC) is more and more popular because of its flexibility and fine-grained data management. However, manually configuring authorization policies in ABAC system is a time-consuming, labor-intensive, and tedious work. Many researchers explore the ways of automatically configuring authorization policies by parsing requirement specifications that are expressed in natural language. Previous works only focus on English and ignore the semantics of comparative relationship. In this paper, we propose a method based on Chinese including procedures of key words extraction, tag alignment and expression transformation. It can parse Chinese sentence into constraint expressions and authorization sign, by which ABAC system is able to configure authorization policies automatically. Our evaluation results show that it has good performance not only in the independent tests on each procedure but also in the systematic tests on the whole method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7b8a55f0b968da633f6bb288872cb2b8 https://doi.org/10.1007/978-3-030-89137-4_8 Zobrazit plný text záznamu