2024

Постійне посилання на фонд

https://ela.kpi.ua/handle/123456789/73199

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Перегляд 2024 за Ключові слова "004.942, 519.876.5"

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  • Ескіз
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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.
  • Ескіз
    ДокументВідкритий доступ
    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.