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Agathe Blaise
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Books and Theses
- 2020
- [b1]Agathe Blaise:
Novel anomaly detection and classification algorithms for IP and mobile networks. (Nouveaux algorithmes de détection d'anomalies et de classification dans les réseaux IP et mobile). Sorbonne University, France, 2020
Journal Articles
- 2022
- [j4]Agathe Blaise, Mathieu Bouet, Vania Conan, Stefano Secci:
Group anomaly detection in mobile app usages: A spatiotemporal convex hull methodology. Comput. Networks 216: 109277 (2022) - 2021
- [j3]Francesco Minna, Agathe Blaise, Filippo Rebecchi, Balakrishnan Chandrasekaran, Fabio Massacci:
Understanding the Security Implications of Kubernetes Networking. IEEE Secur. Priv. 19(5): 46-56 (2021) - 2020
- [j2]Agathe Blaise, Mathieu Bouet, Vania Conan, Stefano Secci:
Detection of zero-day attacks: An unsupervised port-based approach. Comput. Networks 180: 107391 (2020) - [j1]Agathe Blaise, Mathieu Bouet, Vania Conan, Stefano Secci:
Botnet Fingerprinting: A Frequency Distributions Scheme for Lightweight Bot Detection. IEEE Trans. Netw. Serv. Manag. 17(3): 1701-1714 (2020)
Conference and Workshop Papers
- 2024
- [c8]Francesco Minna, Agathe Blaise, Fabio Massacci, Katja Tuma:
Automated Security Repair for Helm Charts. ICSE Companion 2024: 412-413 - 2022
- [c7]Clinton Cao, Agathe Blaise, Sicco Verwer, Filippo Rebecchi:
Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster. ARES 2022: 117:1-117:9 - [c6]Agathe Blaise, Filippo Rebecchi:
Stay at the Helm: secure Kubernetes deployments via graph generation and attack reconstruction. CLOUD 2022: 59-69 - [c5]Agathe Blaise, Elena Mihailescu, Bruno Vidalenc, Laurent Aufrechter, Darius Mihai, Mihai Carabas:
Learning Model Generalisation for Bot Detection. EICC 2022: 57-63 - 2021
- [c4]Cyrius Nugier, Diane Leblanc-Albarel, Agathe Blaise, Simon Masson, Paul Huynh, Yris Brice Wandji Piugie:
An Upcycling Tokenization Method for Credit Card Numbers. SECRYPT 2021: 15-25 - 2020
- [c3]Agathe Blaise, Mathieu Bouet, Vania Conan, Stefano Secci:
BotFP: FingerPrints Clustering for Bot Detection. NOMS 2020: 1-7 - 2019
- [c2]Agathe Blaise, Mathieu Bouet, Stefano Secci, Vania Conan:
Split and Merge: Detecting Unknown Botnets. IM 2019: 153-161 - 2018
- [c1]Agathe Blaise, Stan Wong, A. Hamid Aghvami:
Virtual Network Function Service Chaining Anomaly Detection. ICT 2018: 411-415
Parts in Books or Collections
- 2020
- [p1]Agathe Blaise, Sandra Scott-Hayward, Stefano Secci:
Scalable and Collaborative Intrusion Detection and Prevention Systems Based on SDN and NFV. Guide to Disaster-Resilient Communication Networks 2020: 653-673
Informal and Other Publications
- 2022
- [i2]Clinton Cao, Annibale Panichella, Sicco Verwer, Agathe Blaise, Filippo Rebecchi:
Encoding NetFlows for State-Machine Learning. CoRR abs/2207.03890 (2022) - [i1]Clinton Cao, Agathe Blaise, Sicco Verwer, Filippo Rebecchi:
Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster. CoRR abs/2207.12087 (2022)
Coauthor Index
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