Substantiation of self-organization approaches in information networks to strengthen cyber resilience

Purpose. To formalize mathematical approaches and models that can be effectively applied to key self-organization methods of information networks within economic entities, considering the estimated dependencies between operational parameters and controllable variables across various levels of the OSI model.

Methodology. This research proposes an approach to modeling information infrastructure resilience based on the application of route optimization algorithms (Dijkstra, Bellman-Ford), Markov process theory, machine learning tools (SVM, neural networks), as well as entropic analysis and asymmetric encryption methods (RSA, ECC). The systematic approach is implemented through the analysis of interdependencies between the layers of the OSI network model to identify vulnerable segments and risk control points.

Findings. Methods of self-organization of information networks have been developed that ensure early detection of anomalies, effective management of routing and data encryption, as well as adaptability to changes in the external environment and reduction of the risk of cyber-attacks. An information infrastructure protection architecture has been developed that covers seven levels of the OSI model, ensuring the integrity, availability, and confidentiality of data in the information networks of economic entities.

Originality. This research proposes an approach to ensuring the resilience of information networks, distinguishing itself from existing methods by the coordinated application of mathematical, cryptographic, and cognitive methods within the context of the OSI network layer hierarchy. The expediency of incorporating entropic control as an indicator of system randomness and potential vulnerability has been substantiated.

Practical value. The practical significance of this research lies in the applicability of its results in developing information and cybersecurity policies for economic entities. The proposed solutions contribute to strengthening not only information security but also financial and personnel security amidst digital transformation, as well as minimizing the consequences of cyber incidents.