On the Issue of Assessing the Possible Vulnerability of Users' Personal Data in Social Networks

Abstract

The article is devoted to the study of the issues of assessing the possible vulnerability of users' personal data in social networks. The object of the study is social networks. The subject of the study is the algorithms for determining the user's personal data in social networks. The purpose of the work is to improve the quality of detection of hidden personal data of the user in social networks. Quality indicators are the time spent by the algorithm at all stages of the analysis, the resource intensity, and the accuracy of determining personal data.Based on the results of the study, a method for determining the user's personal data in social networks based on their social interactions is proposed, which significantly exceeds the accuracy and speed of determining personal data and requires a smaller training sample. The following results were obtained: • a method for determining the user's social circles was developed, taking into account the specifics of the average size and strength of communication in modern social circles; • a method for determining the informativeness of the social circle has been developed; • a method for determining the user's personal data has been developed and tested, the method has been tested on the age of the user; • the developed method is compared with the existing ones.