Detecção e autorreparo de anomalias em redes definidas por software

  • Fernando Luiz Moro IFC
  • Alexandre Amaral IFC
  • Ana Paula Amaral IFC
  • Rodrigo Nogueira IFC

Abstract


The accelerated technological advances have resulted in the increased occurrence of network anomalies, such as DoS attacks. The complexity and heterogeneity of the current networks has been the main obstacle to detect and especially block the attacks without human intervention. Thus, this work presents a solution capable of detecting and blocking anomalies automatically in the context of software defined networks (SDN). The proposed solution consists of three main modules, responsible for collecting of data, detecting anomalies and applying a corrective action to solve the identified problem. To validate the solution a case study was performed using a real network attack.

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Published
2017-11-06
MORO, Fernando Luiz; AMARAL, Alexandre; AMARAL, Ana Paula; NOGUEIRA, Rodrigo. Detecção e autorreparo de anomalias em redes definidas por software. In: BRAZILIAN SYMPOSIUM ON CYBERSECURITY (SBSEG), 17. , 2017, Brasília. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2017 . p. 541-548. DOI: https://doi.org/10.5753/sbseg.2017.19529.