Research on Privacy Concerns of Social Network Users

Abstract

Different users have different degrees of privacy concerns. In order to conduct personalized privacy risk assessment of social network users, it is necessary to fully understand and quickly calculate the privacy concerns for each user. Firstly, from the three dimensions of personal attributes, behavior attributes, and social attributes, a structured label system is constructed for microblog users, and user privacy concerns portrait is designed innovatively, so that the privacy concerns of each user can be seen at a glance. Secondly, a privacy concerns model is established based on the regularly updated user privacy concerns portrait, thereby user privacy concerns can be quickly calculated. The comparative experiment shows that the scheme has higher accuracy and efficiency than the previous measures, and provides a good implementation for the quantification of privacy concerns.