Ghoniem M.Shurkhovetskyy G.Bahey A.Otjacques B.CRPGabriel Lippmann41 rue du BrillL-4422 BelvauxLuxembourg; M.S.A. UniversityWahat Road6th of October CityEgypt; Nile UniversityC.I.T School6th of October CityEgypt2020-01-092020-01-0920149.78E+120277786Xhttps://doi.org/10.1117/12.2037790PubMed ID :https://t.ly/NN8vOScopusIn this work, we present VAFLE, an interactive network security visualization prototype for the analysis of firewall log events. Keeping it simple yet effective for analysts, we provide multiple coordinated interactive visualizations augmented with clustering capabilities customized to support anomaly detection and cyber situation awareness. We evaluate the usefulness of the prototype in a use case with network traffic datasets from previous VAST Challenges, illustrating its effectiveness at promoting fast and well-informed decisions. We explain how a security analyst may spot suspicious traffic using VAFLE. We further assess its usefulness through a qualitative evaluation involving network security experts, whose feedback is reported and discussed. � 2014 SPIE-IS&T.Englishclusteringcyber securityfirewall logheatmapuser studyvisual analyticsConference Paperhttps://doi.org/10.1117/12.2037790PubMed ID :