METHOD OF RESEARCHING INFORMATION SECURITY FROM THE NUMBER OF COMMUNITIES IN SOCIAL MEDIA

Abstract

This article builds a mathematical model (scheme of linear differential dependencies) and investigates the privacy security model depending on the number of communities in social media (SM). It considers linear schemes of information security in social media. When describing a linear model, the object must be at least approximately linear. This approach greatly facilitates consideration of mathematical models. If this is not observed, the linearity of the safety circuit should be investigated.

The components of information security of the information flow in social media, the amount of personal data, the dependence of the speed of the data flow, the dependence of the security of the scheme on the size of the scheme (including the amount of personal data), the dependence of information threats on the number of communities were studied, taking into account: - an indicator reflecting the impact of measures information security; - an indicator reflecting the impact of the speed of data leakage; - an indicator reflecting the impact of the amount of data on the leak; - an indicator reflecting the impact of the amount of communication; - an indicator reflecting the impact of data volume on data leakage; - an indicator that reflects the impact of the number of SM connections on security;  - an indicator reflecting the number of vertices in the SM; - the parameter can be used to configure the media partitioning algorithm.

The solution is obtained using the dependence of the harmonic oscillator and is classified into three cases: pre-resonance, resonance and post-resonance regions.

Thus, the influence of the parameter of the number of communities on the parameters of the social media security scheme was investigated. Such research is useful and important from the point of view of information security in the media, since the parameter of the number of communities has a significant impact on the protection index up to 100%.

Research has shown that the social media security scheme is non-linear.