Agathe Blaise

Doctorant
Personal website:

Topic: attack and botnet detection protocols. Encadrants: Stefano Secci, Mathieu Bouet (Thales), Vania Conan (Thales)

Publications

2020

Articles de revue

  1. Blaise, A.; Bouet, M.; Conan, V. and Secci, S. Detection of zero-day attacks: An unsupervised port-based approach. In Computer Networks, 180: 107391, 2020. doi  www 
  1. Blaise, A.; Bouet, M.; Conan, V. and Secci, S. Botnet Fingerprinting: a Frequency Distributions Scheme for Lightweight Bot Detection. In IEEE Transactions on Network and Service Management, 17 (3): 1701-1714, 2020. doi  www 

Chapitres d'ouvrage

  1. Blaise, A.; Scott-Hayward, S. and Secci, S. Scalable and Collaborative Intrusion Detection and Prevention Systems Based on SDN and NFV. In Guide to Disaster-Resilient Communication Networks, pages 653-673, Springer, Computer Communications and Networks , 2020. doi  www 

Articles de conférence

  1. Blaise, A.; Bouet, M.; Conan, V. and Secci, S. BotFP: FingerPrints Clustering for Bot Detection. In IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, Budapest, Hungary, 2020. doi  www 

Thèses

  1. Blaise, A. Novel anomaly detection and classification algorithms for IP and mobile networks. Ph.D. Thesis, Sorbonne Université, 2020.

2019

Articles de conférence

  1. Blaise, A.; Bouet, M.; Secci, S. and Conan, V. Split-and-Merge: Detecting Unknown Botnets. In IFIP/IEEE Integrated Management (IM) Conference, pages 153-161, IFIP, Arlington, United States, 2019. www 

2018

Divers

  1. Blaise, A.; Bouet, M.; Conan, V. and Secci, S. Déanonmisation du jeu de données MAWI. , Vol. 99. www 
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