Tumbinskaya M.V.Kazan National Research Technical University n.a. A.N. Tupolev – KAI, Kazan, Republic of Tatarstan, Russian Federation tumbinskaya@inbox.ru
Importance Social networks provide massive information about users, the so called open data mining. The social network users voluntarily disclose their personal information to abusers, mentioning their work, education, interests through pages and groups, which they join, and notes they make there. Thus important data become available for abusers who organize network attacks against users through targeted information. Objectives The research overviews current issues of information security in social networks, especially the protection of targeted information aimed at preserving the integrity of confidential information. Methods The research relies upon the algorithm used to disseminate targeted information throughout social networks, determines its parameters, which, if varied, would help specify various scenarios of attacks. The article sets forth threats to information security in social networks and proposes protection methods. Results If scenarios are specified and detailed, they will allow for counteraction measures. The method of protection from targeted information disseminated throughout social networks allows to devise anti-targeted information model and implement special-purpose software to integrate it into social systems of social networks. Conclusions and Relevance The article evaluates whether the anti-targeted information methods are effectively applied. The proposed solutions will allow countering data mining through modern protection methods and tools and guidelines for integrity of information resources.
Keywords: information security, social system, social networks, targeted information, abuser, attack scenario
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