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Tool support for the evaluation of anomaly traffic classification for network resilience.

, , , , and . ISCC, page 514-519. IEEE Computer Society, (2015)

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FlowStalker: Comprehensive Traffic Flow Monitoring on the Data Plane using P4., , and . ICC, page 1-6. IEEE, (2019)Emprego de NFV e Aprendizagem por Reforço para Detectar e Mitigar Anomalias em Redes Definidas por Software., , , and . SBRC, (2017)Mitigando Ataques com a Orquestração de VNFs Baseadas em Contêineres Usando Aprendizado Supervisionado., and . SBRC, page 350-363. (2021)Verification of Policy-Based Self-Managed Cell Interactions Using Alloy., , , and . POLICY, page 37-40. IEEE Computer Society, (2009)Safeguarding from abuse by IoT vendors: Edge messages verification of cloud-assisted equipment., , , , , , , , , and . IM, page 599-603. IFIP, (2019)Tool support for the evaluation of anomaly traffic classification for network resilience., , , , and . ISCC, page 514-519. IEEE Computer Society, (2015)Attack Pattern Recognition Through Correlating Cyber Situational Awareness in Computer Networks., , and . Cyberpatterns, Springer, (2014)Towards the simulation of energy-efficient resilience management., , , and . SimuTools, page 63-68. ICST/ACM, (2011)Customizable Deployment of NFV Services., , , , , , , and . J. Netw. Syst. Manag., 29 (3): 36 (2021)Guiltiness: A practical approach for quantifying virtual network functions performance., , , , , , , and . Comput. Networks, (2019)