Personal privacy protection method in customizable location service

Abstract

The present invention discloses a personal privacy protection method in a customizable location service. The method comprises: classifying personal location information according to the two dimensions of time and space; classifying privacy standards and embedding the privacy standards into a location service system; and applying a personal privacy protection algorithm to protect user privacy on demand, and collecting location information data. According to the method disclosed by the present invention, based on user demand of the location service and different privacy standards of users, the privacy standards are set in the location service system, so as to guarantee that user privacy information of the personal location will not be violated when carrying out latter data collection and release. Thus, location information of users can be protected on demand, so that the problem of privacy leak in the location service is solved; and at the same time, a location service provider can share public location information to better provide the location service, and data decryption is realized to some extent.

Description

technical field [0001] The invention belongs to the field of information security, and in particular relates to a personal privacy protection method in a customizable location service. Background technique [0002] In recent years, with the increasing popularity of positioning technology and map-based location services, application providers and research institutions have accumulated a large amount of user location information data. Research institutions or government departments can conduct data mining based on user location data, which has certain academic value and commercial value, such as urban planning, behavior pattern analysis, etc. Therefore, personal privacy information may also be continuously leaked when users use location services, which brings troubles to users to a certain extent. [0003] At present, the main means of privacy protection for social network data and location information in location services is anonymization, but compared with the privacy prote...

AI Technical Summary

Problems solved by technology

For different users, the privacy standards and preferences for information are different. For example, some users think that the release of certain location information or trajectory data is harmless to them, and at the same time it can bring convenience to other users; The information is very important. Although I want to share it with other users, I hope that the release of the data is relatively rough or according to my own requirements.

Images