Multimodal Privacy Preserving Approaches

Abstract

The present invention provides a multi-modal privacy protection method, including: S1, extracting privacy resources based on behavior data generated by users on the network, and constructing DIKW graphs corresponding to users based on privacy resources; S2, monitoring whether decisions about the circulation of privacy resources are generated, And obtain participant information when making a decision, the participant includes generator, communicator and acquirer; S3, analyze the authority of the participant in the circulation process of privacy resources based on the DIKW map, and judge the privacy resource circulation according to the analysis results the legitimacy of the decision. The invention realizes the effective protection of user privacy resources based on the essential calculation of multi-modal and cross-modal content, and at the same time optimizes the integrated processing efficiency of storage, transmission, calculation and privacy data protection based on DIKW map technology.

Description

technical field [0001] The invention relates to the technical field of data management, in particular to a multi-modal privacy protection method. Background technique [0002] Usually, automated decisions made by AI systems are faster and more convenient, but when automated decisions involve humans, it can lead to bias, discrimination, and privacy violations. Today, more and more users choose to share their lives on the Internet, such as virtual communities, or communicate with people who are interested in data, information, knowledge and other forms of content. Therefore, virtual traces such as browsing history, purchase history and interaction history left by users browsing and user-generated content (UGC) published by users themselves on virtual communities (T virtual ) are also included in the privacy category. Virtual traces can reflect the user's own personality and behavior, while UGC can reflect user privacy resources that are not affected by the outside world. Ac...

AI Technical Summary

Problems solved by technology

According to the research on the privacy status of personal online social networks in the 10 most visited online social networking sites (online social network, OSN) in the world, many users ignore the privacy risks of OSN, and the protection of personal privacy by traditional privacy protection methods The effect is limited, because the development of privacy protection technology lags behind the development of privacy acquisition technology, both virtual communities and users need to strengthen their privacy protection awareness, and need better means to protect privacy

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