PurExt: Automated Extraction of the Purpose-Aware Rule from the Natural Language Privacy Policy in IoT
PurExt: Automated Extraction of the Purpose-Aware Rule from the Natural Language Privacy Policy in IoT
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PurExt：从物联网自然语言隐私策略中自动提取目的感知规则
DOI：
10.1155/2021/5552501
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Li Chen
中科院分区：
文献类型：
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作者：
Lu Yang;Xingshu Chen;Yonggang Luo;Xiao Lan;Li Chen
物联网（IoT）设备执行的大量数据收集可能会使用户面临数据泄露的风险。因此，物联网供应商在法律上有义务提供隐私政策，声明数据收集的范围和目的。然而，复杂和冗长的隐私策略对用户不友好，并且缺乏机器可读的格式使得难以自动检查策略遵从性。为了解决这些问题，我们首先提出了一个目的感知规则来形式化目的驱动的数据收集或使用语句。然后，提出了一种从自然语言隐私策略中识别规则的新方法。为了解决目的表达的多样性问题，我们提出了显式和隐式目的的概念，这使得使用句法和语义分析可以在不同的句子中提取目的。最后，将领域自适应方法应用于语义角色标注（SRL）模型，提高了目的提取的效率。在人工标注数据集上进行的实验表明，该方法可以从隐私策略中提取目的感知规则，召回率高达91%。适应模型的隐含目的提取显著提高f1得分11%。
The extensive data collection performed by the Internet of Things (IoT) devices can put users at risk of data leakage. Consequently, IoT vendors are legally obliged to provide privacy policies to declare the scope and purpose of the data collection. However, complex and lengthy privacy policies are unfriendly to users, and the lack of a machine-readable format makes it difficult to check policy compliance automatically. To solve these problems, we first put forward a purpose-aware rule to formalize the purpose-driven data collection or use statement. Then, a novel approach to identify the rule from natural language privacy policies is proposed. To address the issue of diversity of purpose expression, we present the concepts of explicit and implicit purpose, which enable using the syntactic and semantic analyses to extract purposes in different sentences. Finally, the domain adaption method is applied to the semantic role labeling (SRL) model to improve the efficiency of purpose extraction. The experiments that are conducted on the manually annotated dataset demonstrate that this approach can extract purpose-aware rules from the privacy policies with a high recall rate of 91%. The implicit purpose extraction of the adapted model significantly improves the F1-score by 11%.
影响因子：
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作者：
Pasquier, Thomas;Singh, Jatinder;Bacon, Jean
通讯作者：
Bacon, Jean