Differential privacy disclosure detection method and system for to-be-published text of social network

Abstract

The invention discloses a differential privacy disclosure detection method and system for a to-be-published text of a social network. According to the method, various possible privacy disclosure waysare comprehensively and deeply analyzed; A current to-be-published text of a user is comprehensively considered. A multi-dimensional feature-based privacy disclosure detection convolutional neural network model is established based on the privacy disclosure detection convolutional neural network model, the aggregation effect of privacy information is fully considered, and omnibearing privacy disclosure detection is carried out according to the aggregation effect, so that the detection result is faster, more comprehensive and more accurate. According to the privacy disclosure degree obtained through two times of detection, difference is carried out to obtain the current text privacy disclosure condition. According to the privacy disclosure detection method and device, whether the privacy disclosure prompt is carried out or not is determined, the limitation that a traditional method needs to consider the privacy category is avoided, the complexity that text content is classified first and then privacy disclosure detection is carried out according to features extracted according to the category to which the content belongs in the traditional method is also avoided, and the privacy disclosure detection efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of social network content security, in particular to a differential privacy leak detection method and system for text to be published in a social network. Background technique [0002] The social network is loved and actively sought after by the majority of netizens for its convenient and flexible information release and fast and efficient network dissemination methods, which fully meet the needs of people to express their personal demands and share various information. Internet users are also more and more keen on Through the social network to achieve mutual communication and information sharing, the social network has become an important way for people to communicate, communicate and share, and an important place for people to express their opinions. [0003] However, the information sharing form of social networks represented by Weibo is limited by the number of characters in the early stage, which determ...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide a differential privacy leak detection method and system for texts to be published in social networks, so as to solve the problems of low detection efficiency and detection accuracy of existing privacy leak detection methods

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