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DEAL: A Distributed Authorization Language for Ambient Intelligence

机译:DEAL:一种用于环境智能的分布式授权语言

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摘要

Authorization is an open problem in Ambient Intelligence environments. The difficulty of implementing authorization policies lies in the open and dynamic nature of such environments. The information is distributed among various heterogeneous devices that collect, process, change, and share it. Previous work presented a fully distributed approach for reasoning with conflicts in ambient intelligence systems. This paper extends previous results to address authorization issues in distributed environments. First, the authors present the formal high-level authorization language DEAL to specify access control policies in open and dynamic distributed systems. DEAL has rich expressive power by supporting negative authorization, rule priorities, hierarchical category authorization, and nonmonotonic reasoning. The authors then define the language semantics through Defeasible Logic. Finally, they demonstrate the capabilities of DEAL in a use case Ambient Intelligence scenario regarding a hospital facility.
机译:在环境智能环境中,授权是一个未解决的问题。实施授权策略的困难在于此类环境的开放性和动态性。信息分布在收集,处理,更改和共享信息的各种异构设备之间。先前的工作提出了一种完全分布式的方法来推理环境智能系统中的冲突。本文扩展了以前的结果,以解决分布式环境中的授权问题。首先,作者提出了正式的高级授权语言DEAL,以指定开放和动态分布式系统中的访问控制策略。 DEAL通过支持否定授权,规则优先级,层次类别授权和非单调推理,具有丰富的表达能力。然后,作者通过“不可行逻辑”定义语言语义。最后,他们在有关医院设施的用例环境智能场景中演示了DEAL的功能。

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