Providing protection from targeted information in social networks

Introduction. Social networks provide massive information about users through the so-called open data mining. The social network users voluntarily disclose their personal information about their work, education, interests through pages and groups, which they join. Thus, important personal data become available for intruders, organizing network attacks against users through targeted information. Materials and Methods. The social networks Twitter, Facebook, VKontakte are chosen as the objects of research. The methods of analysis, comparison and modeling identified threats to the security of social networks. Results. The article formalizes the algorithm for the distribution of targeted information in social networks, defines its parameters, which allow detailing the various attack scenarios, and offers a classification of threats to information security. The technique of protection from targeted information in social networks is also offered. Discussion and Conclusions. Detailing the scenarios of attacks allows developing countermeasures. The method of protection from the targeted information distributed in social networks allows developing a model of protection from targeted information and implementing special software for the integration into social networks.