在基于语义的访问控制框架中处理上下文

M. Ehsan, M. Amini, R. Jalili
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引用次数: 9

摘要

随着语义网的发展,安全问题也在增加。一个问题是控制对该环境中的资源的访问。为了推断是否允许访问,需要涉及不同实体的不同信息,包括上下文信息。从访问控制的角度出发,我们将语义网中的实体分为三类:资源(对象)、请求者(主体)和环境(基础设施、时间和位置)。本文提出了一种基于语义的上下文感知访问控制框架,并将其应用于多域环境下的语义web。为了处理框架中的上下文信息,我们提出了一个上下文本体来表示上下文信息,并将其应用于推理引擎中。提出的本体对语义web环境的上下文进行分类,并在抽象层次上表示上下文信息的元素及其关系。我们将说明访问控制框架如何使用提议的上下文本体处理上下文信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Handling Context in a Semantic-Based Access Control Framework
As semantic web grows, security concerns increase. One concern is controlling accesses to resources in this environment. In order to infer whether the access is allowed or not, different information of different entities including contextual information should be involved. From access control point of view, we divide the entities in semantic web into three categories: resources (objects), requesters (subjects), and environment (infrastructure, time, and location). In this paper, we present a semantic-based context-aware access control framework to be applied in semantic web, considered as a multi-domain environment. To handle context information in the framework, we propose a context ontology to represent contextual information and employ it in the inference engine. The proposed ontology classifies the context of a semantic web environment and represents the elements of contextual information and their relationship in an abstract level. We illustrate how the access control framework handles the contextual information with the proposed context ontology.
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