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Privacy policy compliance detection method

A compliance detection and policy technology, applied in unstructured text data retrieval, digital data protection, computer security devices, etc., can solve problems such as incomprehension, difficulty for application users to find infringement, lack of

Inactive Publication Date: 2021-08-06
TIANJIN UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

First, similar to other laws and regulations, GDPR is written in natural language and contains a lot of legal jargon, which is difficult for users without domain knowledge to understand
Second, privacy policies are usually long documents written in natural language, which is time-consuming for App users to read
[0005] Therefore, it is difficult for app users to discover infringements against themselves
Also, in some cases, service developers / providers inadvertently violate laws / regulations due to lack of relevant knowledge

Method used

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  • Privacy policy compliance detection method
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Examples

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Embodiment Construction

[0023] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0024] This example proposes a method for automatically analyzing the content of a privacy policy and reporting violations of the GDPR (Chapter 13). See Figure 1a and Figure 1b , Chapter 13 of the GDPR was chosen because this chapter contains provisions on what information must be provided to the data subject and how [21] , is best reflected in a privacy policy. A taxonomy scheme based on GDPR (Article 13) is designed and annotated on a corpus of 304 privacy policies. The corpus is then benchmarked against several standard classification models and the results are fully analyzed. Finally, the privacy policy is checked for compliance with GDPR Chapter 13 based on the rules and cl...

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Abstract

The invention discloses a privacy policy compliance detection method. The method comprises the following steps: (1) performing rule extraction: reading contents of global privacy protection regulations (GDPR), carding logic contents in the privacy protection regulations, and defining tags according to the logic contents; (2) performing text classification: screening privacy policies, and rejecting non-English and service clause data; marking each sentence of the screened privacy policies with a label to complete the construction of a corpus; and employing a corpus for training a text classification model, wherein the trained text classification model can classify sentences in any privacy policy, and a label is predicted for each sentence; (3) performing rule matching on the label content extracted from the rule in the step (1) and the text classification result, i.e., the prediction label, in the step (2) to obtain a final compliance detection result.

Description

technical field [0001] The invention relates to the fields of natural language processing technology and privacy policy, in particular to a privacy policy compliance detection method. Background technique [0002] In recent years, web and mobile applications have seen rapid development and widespread adoption in our daily lives. Therefore, more and more personal data is provided to different application providers. Over the past few years, there have been many reports of privacy violations. One of the most influential cases is Alipay. When Alipay generated the 2017 annual bill for the user, the user had a line of small words on the authorization interface, "I agree to the "Sesame Service Agreement"", and the "Agree" button was checked by default without explicitly notifying the user. This action violates the General Data Protection Regulation (GDPR) [18] (Article 32) on the conditions of consent. Another case is the privacy policy of a face-swapping app called "ZAO" that...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F21/62G06K9/62
CPCG06F16/35G06F21/6245G06F18/2411
Inventor 刘爽赵栢杨
Owner TIANJIN UNIV
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