10. Tumbinskaya M. V. Providing protection from targeted information in social networks

LATEST ISSUE

For readers

For authors

FOR REVIEWERS

SOCIAL NETWORKS

Engineering Technologies and Systems is an open access journal, which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author in accordance with the BOAI definition of open access.

All the materials of the “Engineering Technologies and Systems” journal are made available under a Creative Commons «Attribution» 4.0 license.

Useful Materials

To download article.

UDC 004.056.57:316.472.4

DOI: 10.15507/0236-2910.027.201702.264-288

The use of intelligent systems for risk management in software projects

Marina V. Tumbinskaya
Associate Professor of Information Security Systems Chair, Institute of Computer Technologies and Information Protection, Tupolev Kazan National Research Technical University (10 Karl Marks St., Kazan 420111, Russia), Ph.D. (Engeneering), ORCID: http://orcid.org/0000-0003-3738-5242, This email address is being protected from spambots. You need JavaScript enabled to view it.

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.

Keywords: information security, social information system, targeted information, the attacker, the attack scenario

For citation: Tumbinskaya M. V. Providing protection from targeted information in social networks. Vestnik Mordovskogo universiteta = Mordovia University Bulletin. 2017; 27(2):264-288. DOI: 10.15507/0236-2910.027.201702.264-288

This work is licensed under a Creative Commons Attribution 4.0 License.