Smart-M3平台的上下文感知访问控制模型

A. Kashevnik, N. Teslya
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引用次数: 4

摘要

Smart-M3平台的主要安全问题之一是缺乏动态安全管理支持。特别是需要一种新的资源共享访问控制模型。访问控制模型应该通过上下文描述当前情况。本文提出了一种基于smart - m3平台的基于上下文的智能空间共享信息访问控制模型。以虚拟私有智能空间为代表的微虚拟化机制是该模型的基础,该模型建立在基于角色和基于属性的访问控制模型的结合之上。根据智能空间参与者的信任级别动态分配角色。角色分离允许简化策略,使它们易于阅读和配置。信任级别的计算基于参与者的上下文,其中包括身份属性;位置;当前日期;设备类型等。此外,本文还提出了三种安全策略规则。这些规则用于计算信任级别,根据信任级别分配角色,并对智能空间资源授予权限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context-aware access control model for Smart-M3 platform
One of the main security problems of Smart-M3 platform is a lack of dynamic security management support. In particular, a new access control model for resource sharing is needed. The access control model should describe the current situation via a context. The paper proposes a model of the context-based access control for the information shared in a smart space based on the Smart-M3 platform. Micro virtualization mechanisms represented by virtual private smart spaces are the basis for the model, which is built on the combination of the role-based and attribute-based access control models. Roles are assigned dynamically based on the smart space participant's trust level. The role separation allows simplifying policies and makes them human-readable and easy to configure. The trust level calculation is based on the participant's context, which includes identification attributes; location; current date; device type, etc. Also, three kinds of security policy rules have been proposed. These rules are used to calculate the trust level, to assign roles based on the trust level, and to grant permissions to the smart space resources.
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