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  1. Головна
  2. Переглянути за автором

Перегляд за Автор "Nakonechna, Yuliia"

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    Compartment model of informational and suggestive influence
    (Igor Sikorsky Kyiv Polytechnic Institute, 2022) Nakonechna, Yuliia
    Mathematical modeling use in information operations research makes it possible to qualitatively and quantitatively predict information attack object behavior, as well as to determine and implement effective countermeasures. According to the chosen methodology, a compartmental approach based informational and suggestive influence mathematical model was proposed. The model makes it possible to assess information, communication network participant state and estimate suggestive influence in the moment.
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    Fuzzy logic in risk assessment of multi-stage cyber attacks on critical infrastructure networks
    (Igor Sikorsky Kyiv Polytechnic Institute, 2024) Nakonechna, Yuliia; Savchuk, Bohdan; Kovalova, Anna
    In the current environment, critical infrastructure has become the target of increasingly complex multi-stage cyber attacks characterized by sequential phases of infiltration, privilege escalation, and lateral movement within the target network. Traditional risk assessment methods often rely on assumptions of precise data availability and well-defined probabilities, which limit their applicability in real-world scenarios marked by uncertainty and imprecise information. This paper proposes an approach based on the use of fuzzy logic systems to assess the risks of multi-stage cyber attacks against networked critical infrastructure services. The proposed methodology takes into account the ambiguity and fuzziness of input data, expert judgments, and the dynamic progression of attacks. The result is a more flexible and adaptive risk assessment model that supports informed decision-making to enhance cybersecurity, prioritize countermeasures, and optimize the allocation of defensive resources.
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    Information network topology: mathematical model of suggestive influence
    (Igor Sikorsky Kyiv Polytechnic Institute, 2024) Nakonechna, Yuliia; Savchuk, Bohdan; Kovalova, Anna
    Psychological operations (PsyOps) have become an increasingly important aspect of modern warfare and political maneuvering, shaping target populations’ perceptions, emotions, and behaviors. Understanding the mechanisms by which these operations function and impact target populations is crucial for developing effective countermeasures. This paper proposes a model for the spread of such content based on epidemiological and pharmacokinetic approaches. By drawing analogies between the spread of PsyOps and the diffusion of pathogens or chemicals, we develop mathematical models to describe the dynamics of PsyOps dissemination. The model considers factors such as initial conditions, strength and persistence of a PsyOp, susceptibility, and interconnectedness of the target population. Solutions to the proposed equations are provided, offering insights into the potential spread and control of PsyOps.
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    Proposing of suggestive influence detection and classification method based on fuzzy logic and feature driven analysis
    (Igor Sikorsky Kyiv Polytechnic Institute, 2023) Nakonechna, Yuliia
    This research proposes an approach to the identification and classification of tools used in informational operations aimed at the implementation of suggestive influence, based on existing research on the feature-based informational influence identification. The proposed method combines the theory of fuzzy sets and the methods of fuzzy inference with the approach of analysis based on text features thanks to the author's proposed list of suggestive influence techniques, certain combinations of which are characteristic of various information influence tools. Using this approach, research focuses on identifying and classifying tools such as propaganda, fakes, disinformation, manipulation and artificial narrative. This structure result allows to improve the quality of analysis of similar research cases and to develop optimal countermeasures strategies that will take into account the features of each of the considered information warfare tools in further studies.

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