Yelyzaveta Meleshko

TL;DR: The experiments have shown that the neural network that analyzes only the numbers of different ratings in a profile, detects bot profiles with high accuracy, that use Random attack regardless of the number of target items for each bot.

TL;DR: This research presents a thorough study of the strategies deployed for information dissemination on social networks, modeled for identifying factors proving pivotal in influencing public opinions, based on computer modeled of the social network structure alongside modeling of the behavior of network users.

TL;DR: A method for determining the optimal frequency of checking a recommendation system for information attacks to optimize the overall costs of a system was developed and will enable the owners of websites with recommendation systems to minimize their financial costs to provide their information security.

TL;DR: The problem of probabilistic analysis of a complex dynamic system, which in the process of functioning passes from one state to another at random times, is considered and the methodology for calculating the conditional probabilities of the system getting into a given state at a given time t, provided that at the initial time the system was in any of the possible states is proposed.

TL;DR: In the work, the developed computer model of the distribution of information influences during information operations and information wars in virtual social networks with different information dissemination strategies considered was developed.