Modelagem e Detecção de Ataques Grayhole ao Protocolo GOOSE usando o Framework ERENO

  • Jerusa C. Gonçalves UFU
  • Silvio E. Quincozes UFU / UNIPAMPA
  • Vagner E. Quincozes UFF
  • Juliano F. Kazienko UFSM

Resumo


A crescente necessidade de reforçar a segurança cibernética na infraestrutura crítica, especificamente em subestações elétricas que se comunicam através do protocolo Generic Object Oriented Substation Event (GOOSE), requer técnicas efetivas de detecção e prevenção de ameaças. Esse protocolo é definido pelo padrão IEC-61850 e protege dispositivos físicos notificando eventos como faltas elétricas. Entretanto, a sua adoção abre brechas para a exploração de vulnerabilidades através de ataques cujas assinaturas precisam ser mapeadas. Destaca-se uma lacuna na literatura referente à falta de assinaturas do ataque Grayhole. Neste artigo, é proposta a modelagem e implementação de tal ataque ao protocolo GOOSE. Ademais, tal modelagem é incorporada ao ERENO, um framework para geração de datasets de intrusões. A eficácia do dataset resultante é validada através de cinco algoritmos de aprendizado de máquina, com destaque para o algoritmo J48 que obteve 90,68% de F1-Score.

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Publicado
18/09/2023
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GONÇALVES, Jerusa C.; QUINCOZES, Silvio E.; QUINCOZES, Vagner E.; KAZIENKO, Juliano F.. Modelagem e Detecção de Ataques Grayhole ao Protocolo GOOSE usando o Framework ERENO. In: SIMPÓSIO BRASILEIRO DE SEGURANÇA DA INFORMAÇÃO E DE SISTEMAS COMPUTACIONAIS (SBSEG), 23. , 2023, Juiz de Fora/MG. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 417-430. DOI: https://doi.org/10.5753/sbseg.2023.233550.

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