Medidas De Ciberdecepción Para Sistemas Digitales Interconectados: Un Modelo Basado En Agentes Y Grafos De Ataque Bayesiano
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 variou...
- Autores:
-
Álvarez, J. A.
González, E.
- Tipo de recurso:
- Fecha de publicación:
- 2024
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/34773
- Acceso en línea:
- https://hdl.handle.net/10784/34773
- Palabra clave:
- Modelado Basado en Agentes (ABM)
Grafos de Ataque Bayesianos (BAG)
Ciberseguridad en Sistemas Interconectados
Agent-Based Modeling (ABM)
Bayesian Attack Graphs (BAG)
Cybersecurity in Networked Systems
- Rights
- License
- Acceso abierto
| Summary: | 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. |
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