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7 Results
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A Lightweight Snapshot-Based DDoS Detector13th International Conference on Network and Service Management (CNSM 2017), Nov 2017, Tokyo, Japan. 16p
Conference papers
hal-01676810v1
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Online and Scalable Unsupervised Network Anomaly Detection MethodIEEE Transactions on Network and Service Management, 2017, 14 (1), pp.34-47. ⟨10.1109/TNSM.2016.2627340⟩
Journal articles
hal-01406273v1
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Evaluating the Impact of Traffic Sampling on AATAC's DDoS DetectionJournal of Cyber Security and Mobility, 2019, 8 (4), pp.419-438. ⟨10.13052/jcsm2245-1439.842⟩
Journal articles
hal-02047267v1
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Détection d'attaques DDoS dans les réseauxRendez-vous de la Recherche et de l'Enseignement de la Sécurité des Systèmes d'Information, May 2017, Grenoble, France. , 2017
Conference poster
hal-01528725v1
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Détection d'attaques sur les équipements d'accès à InternetIntelligence artificielle [cs.AI]. INSA de Toulouse, 2018. Français. ⟨NNT : 2018ISAT0017⟩
Theses
tel-01886092v2
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Evaluating the Impact of Traffic Sampling on AATAC's DDoS DetectionWorkshop on Traffic Measurements for Cybersecurity (2018 WTMC), Aug 2018, Budapest, Hungary. pp.27-32, ⟨10.1145/3229598.3229605⟩
Conference papers
hal-01862765v1
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Unsupervised Network Anomaly Detection in Real-Time on Big DataNew Trends in Databases and Information Systems, 539, Springer, pp.197-206, 2015, Communications in Computer and Information Science, 978-3-319-23200-3. ⟨10.1007/978-3-319-23201-0_22⟩
Book sections
hal-01229003v1
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