Preference privacy protection evaluating method and system for user book behavior in digital library

Abstract

The invention discloses a preference privacy protection evaluating method and a preference privacy protection evaluating system for a user book behavior in a digital library. The method comprises thefollowing steps of (1) acquiring a pseudo-book behavior sequence set for output of the user book behavior sequence by a preference privacy protection method; (2) calculating a characteristic similarity of the pseudo-book behavior sequence set and a user book behavior sequence; (3) calculating the preference safety of the pseudo-book behavior sequence set and the user book behavior sequence; and (4) when the characteristic similarity exceeds a preset characteristic similarity threshold value and the preference safety exceeds a preset preference safety threshold value, evaluating that the preference privacy protection method is capable of effectively guaranteeing the preference privacy safety of the user book behavior sequence. The system comprises a data acquisition module, a characteristicsimilarity acquisition module, a preference safety acquisition module and a judgment module. The invention provides a unified evaluation method and system and provides a quantitative index and is high in feasibility and unified in standard.

Description

technical field [0001] The invention belongs to the field of privacy protection, and more specifically relates to a method and system for protecting the preference privacy of book behaviors of digital library users. Background technique [0002] With the rapid development of emerging network information technologies such as cloud computing, the scope of digital libraries has been continuously extended and has become an important part of people's daily life. However, while bringing great convenience to users, the server side of the digital library is becoming more and more "untrustworthy", which has caused digital library users to worry about personal privacy security. The issue of user privacy security has become one of the important obstacles restricting the development and application of digital libraries. The personal privacy of digital library users is mainly manifested in two aspects: ① user personal data privacy, including identity privacy (such as ID number) and back...

AI Technical Summary

Problems solved by technology

The results show that the quality of user data collected through anonymization technology is often difficult to assure, because users may submit a lot of useless data without confirming their identity

More importantly, digital libraries generally require users to log in with their real names before they can use various library services. Therefore, it is difficult to effectively apply anonymization privacy protection technology to digital libraries.

[0007] More and more digital libraries have been developed to protect the behavior of private books. However, there is no way to evaluate the privacy protection effect of these methods and whether they can be used for privacy.

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