Cuadernos de Ingeniería Matemática Vol. 01 Núm. 04 (2024)

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Medidas De Ciberdecepción Para Sistemas Digitales Interconectados: Un Modelo Basado En Agentes Y Grafos De Ataque Bayesiano
(2024) Álvarez, J. A.; González, E.; Universidad EAFIT
This study proposes a hybrid model based on Bayesian Attack Graphs (BAGs) and Agent-Based Modeling (ABMs) to analyze worm attacks on interconnected networks with a mesh topology. The model, developed in NetLogo, simulates the spread of malware in a structured network, evaluating the impact of various defense policies, such as using decoy nodes to divert attacks, reducing connections between devices to limit malware spread, and periodically conducting a full inventory of devices on the network. Through a detailed sensitivity analysis, the critical variables influencing cybersecurity measures are identified. The results demonstrate that the implementation of cyber deception techniques significantly reduces the impact of attacks.