A SYSTEM APPROACH TO ORGANISING PROTECTION FROM TARGETED INFORMATION IN SOCIAL NETWORKS

Abstract

Objectives The aim of the study is to formalise a generalised algorithm for the distribution of targeted information in social networks, serving as the basis for a methodology for increasing personal information security. Method The research is based on the methodology of protection from unwanted information distributed across social network systems. Results The article presents the formalisation of an algorithm for the distribution of targeted information across social networks: input and output parameters are defined and the algorithm’s internal conditions are described, consisting of parameters for implementing attack scenarios, which variation would allow them to be detailed. A technique for protection from targeted information distributed across social networks is proposed, allowing the level of protection of personal data and information of social networks users to be enhanced, as well as the reliability of information increased. Conclusion The results of the research will help to prevent threats to information security, counteract attacks by intruders who often use methods of competitive intelligence and social engineering through the use of countermeasures. A model for protection against targeted information and implement special software for its integration into online social network social information systems is developed. The system approach will allow external monitoring of events in social networks to be carried out and vulnerabilities identified in the mechanisms of instant messaging, which provide opportunities for attacks by intruders. The results of the research make it possible to apply a network approach to the study of informal communities, which are actively developing today, at a new level.