Semantic approach to automating management of big data privacy policies
Semantic approach to automating management of big data privacy policies
复制标题
大数据隐私策略自动化管理的语义方法
DOI：
10.1109/bigdata.2016.7840639
复制
发表时间：
2016
期刊：
影响因子：
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通讯作者：
Timothy W. Finin
中科院分区：
文献类型：
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作者：
K. Joshi;Aditi Gupta;Sudip Mittal;C. Pearce;A. Joshi;Timothy W. Finin
确保云上管理的大数据的隐私性对于确保消费者信心至关重要。云提供商发布隐私政策文件，概述他们为确保数据和消费者隐私而采取的步骤。这些文档以大型文本文档的形式提供，需要手动工作和时间来跟踪和管理。我们已经开发了一个语义丰富的本体来描述隐私政策文件，并建立了一个数据库的几个政策文件作为这个本体的实例。接下来，我们基于道义逻辑从这些策略文档中提取规则，这些规则可用于自动化数据隐私管理。在本文中，我们详细描述了我们的本体沿着我们的分析结果的隐私政策突出的云服务。
Ensuring privacy of Big Data managed on the cloud is critical to ensure consumer confidence. Cloud providers publish privacy policy documents outlining the steps they take to ensure data and consumer privacy. These documents are available as large text documents that require manual effort and time to track and manage. We have developed a semantically rich ontology to describe the privacy policy documents and built a database of several policy documents as instances of this ontology. We next extracted rules from these policy documents based on deontic logic which can be used to automate management of data privacy. In this paper we describe our ontology in detail along with the results of our analysis of privacy policies of prominent cloud services.