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Proceedings of the third ACM conference on Data and application security and privacy最新文献

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Engineering access control policies for provenance-aware systems 来源感知系统的工程访问控制策略
Lianshan Sun, Jaehong Park, R. Sandhu
Provenance is meta-data about how data items become what they are. A variety of provenance-aware access control models and policy languages have been recently discussed in the literature. However, the issue of eliciting access control requirements related to provenance and of elaborating them as provenance-aware access control policies (ACPs) has received much less attention. This paper explores the approach to engineering provenance-aware ACPs since the beginning of software development. Specifically, this paper introduces a typed provenance model (TPM) to abstract complex provenance graph and presents a TPM-centric process for identification, specification, and refinement of provenance-aware ACPs. We illustrate this process by means of a homework grading system.
出处是关于数据项如何成为它们的元数据。最近在文献中讨论了各种来源感知访问控制模型和策略语言。然而,引出与来源相关的访问控制需求并将其细化为来源感知访问控制策略(acp)的问题受到的关注要少得多。本文探讨了自软件开发开始以来工程来源感知acp的方法。具体来说,本文引入了一个类型化的来源模型(TPM)来抽象复杂的来源图,并提出了一个以TPM为中心的识别、规范和细化来源感知acp的过程。我们通过家庭作业评分系统来说明这个过程。
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引用次数: 16
Privacy by design: a formal framework for the analysis of architectural choices 设计隐私:用于分析架构选择的正式框架
D. Métayer
The privacy by design approach has already been applied in different areas. We believe that the next challenge in this area today is to go beyond individual cases and to provide methodologies to explore the design space in a systematic way. As a first step in this direction, we focus in this paper on the data minimization principle and consider different options using decentralized architectures in which actors do not necessarily trust each other. We propose a framework to express the parameters to be taken into account (the service to be performed, the actors involved, their respective requirements, etc.) and an inference system to derive properties such as the possibility for an actor to detect potential errors (or frauds) in the computation of a variable. This inference system can be used in the design phase to check if an architecture meets the requirements of the parties or to point out conflicting requirements.
设计隐私的方法已经在不同的领域得到了应用。我们相信,今天这个领域的下一个挑战是超越个别案例,并提供以系统的方式探索设计空间的方法。作为朝这个方向迈出的第一步,我们在本文中关注数据最小化原则,并考虑使用分散架构的不同选项,其中参与者不一定相互信任。我们提出了一个框架来表达要考虑的参数(要执行的服务,涉及的参与者,他们各自的需求等)和一个推理系统来派生属性,例如参与者在变量计算中检测潜在错误(或欺诈)的可能性。该推理系统可以在设计阶段用于检查架构是否满足各方的需求或指出冲突的需求。
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引用次数: 37
期刊
Proceedings of the third ACM conference on Data and application security and privacy
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