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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)Attack Pattern Recognition Through Correlating Cyber Situational Awareness in Computer Networks., , and . Cyberpatterns, Springer, (2014)Tool support for the evaluation of anomaly traffic classification for network resilience., , , , and . ISCC, page 514-519. IEEE Computer Society, (2015)POSTER: Finding Vulnerabilities in P4 Programs with Assertion-based Verification., , , and . CCS, page 2495-2497. ACM, (2017)Towards the simulation of energy-efficient resilience management., , , and . SimuTools, page 63-68. ICST/ACM, (2011)Abstractions to Support Interactions Between Self-Managed Cells., and . AIMS, volume 4543 of Lecture Notes in Computer Science, page 160-163. Springer, (2007)