An ASP Framework for the Refinement of Authorization and Obligation Policies

IF 1.4 2区 数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Theory and Practice of Logic Programming Pub Date : 2023-07-01 DOI:10.1017/s147106842300011x
DANIELA INCLEZAN
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引用次数: 1

Abstract

Abstract This paper introduces a framework for assisting policy authors in refining and improving their policies. In particular, we focus on authorization and obligation policies that can be encoded in Gelfond and Lobo’s $\mathscr{AOPL}$ language for policy specification. We propose a framework that detects the statements that make a policy inconsistent, underspecified, or ambiguous with respect to an action being executed in a given state. We also give attention to issues that arise at the intersection of authorization and obligation policies, for instance when the policy requires an unauthorized action to be executed. The framework is encoded in Answer Set Programming.
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用于细化授权和义务策略的ASP框架
本文介绍了一个帮助政策制定者完善和改进政策的框架。我们特别关注授权和义务策略,这些策略可以用Gelfond和Lobo的$\mathscr{AOPL}$语言编码,用于策略规范。我们提出了一个框架,该框架可以检测与在给定状态下执行的操作相关的使策略不一致、未指定或不明确的语句。我们还关注授权和义务策略交叉出现的问题,例如,当策略要求执行未经授权的操作时。该框架在答案集编程中编码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Theory and Practice of Logic Programming
Theory and Practice of Logic Programming 工程技术-计算机:理论方法
CiteScore
4.50
自引率
21.40%
发文量
40
审稿时长
>12 weeks
期刊介绍: Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, non-monotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.
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