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Dr Ir Thibault DEBATTY

Military teaching assistant

thibault.debatty@rma.ac.be     +32-2-44-14071     Academic details

Publications

  1. Alexandre Croix, Thibault Debatty, and Wim Mees. Comparison of a supervised trained neural network classifier and a supervised trained aggregation function classifier. In The Twelfth International Conference on Evolving Internet (INTERNET 2020), 2020.
  2. Islam Debicha, Thibault Debatty, Wim Mees, and Jean-Michel Dricot. Efficient intrusion detection using evidence theory. In The Twelfth International Conference on Evolving Internet (INTERNET 2020), 2020.
  3. Georgi Nikolov, Thibault Debatty, and Wim Mees. Evaluation of a multi-agent anomaly-based advanced persistent threat detection framework. In The Twelfth International Conference on Evolving Internet (INTERNET 2020), 2020.
  4. Alexandre Croix, Thibault Debatty, and Wim Mees. Training a multi-criteria decision system and application to the detection of PHP webshells. In 2019 International Conference on Military Communications and Information, 2019.
  5. Thibault Debatty and Wim Mees. Building a cyber range for training cyberdefense situation awareness. In 2019 International Conference on Military Communications and Information, 2019.
  6. Thibault Debatty. Design and analysis of distributed k-nearest neighbors graph algorithms. PhD thesis, TELECOM ParisTech and Royal Military Academy, 2018.
  7. Thibault Debatty. Design and analysis of distributed k-nearest neighbors graph algorithms. PhD thesis, Royal Military Academy and Telecom ParisTech, October 2018.
  8. Thibault Debatty, Wim Mees, and Thomas Gilon. Graph-based APT detection. In 2018 International Conference on Military Communications and Information, 2018.
  9. Salvador Llopis, Javier Hingant, Israel Pérez, Manuel Esteve, Federico Carvajal, Wim Mees, and Thibault Debatty. A comparative analysis of visualisation techniques to achieve cyber situational awareness in the military. In 2018 International Conference on Military Communications and Information Systems (ICMCIS), 2018.
  10. Thibault Debatty, Fabio Pulvirenti, Pietro Michiardi, and Wim Mees. Fast distributed k-nn graph update. In 2016 IEEE International Conference on Big Data (Big Data), 2016.
  11. Wim Mees, Salvador Llopis, and Thibault Debatty. Achieving cyber situation awareness through a multi-aspect 3D operational picture. In Proceedings of the NATO IST-148 Symposium on Cyber Defense Situational Awareness, 2016.
  12. Alessandro Lulli, Thibault Debatty, Matteo Dell'Amico, Pietro Michiardi, and Laura Ricci. Scalable k-NN based text clustering. In 2015 IEEE International Conference on Big Data (Big Data), 2015.
  13. Wim Mees and Thibault Debatty. An attempt at defining cyberdefense situation awareness in the context of command & control. In 2015 International Conference on Military Communications and Information Systems (ICMCIS), pages 1-9. IEEE, May 2015.
  14. Wim Mees and Thibault Debatty. An attempt at defining cyberdefense situation awareness in the context of command & control. In 2015 International Conference on Military Communications and Information Systems (ICMCIS), 2015.
  15. T Debatty, W Mees, P Michiardi, and O Thonnard. Determining the k in k-means with mapreduce. In CEUR Workshop Proceedings, volume 1133, pages 19-28, 2014.
  16. Thibault Debatty, Pietro Michiardi, Wim Mees, and Olivier Thonnard. Determining the k in k-means with mapreduce. In Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014.
  17. Thibault Debatty, Pietro Michiardi, Olivier Thonnard, and Wim Mees. Building k-nn graphs from large text data. In 2014 IEEE International Conference on Big Data (Big Data), 2014.
  18. Thibault Debatty, Pietro Michiardi, Olivier Thonnard, and Wim Mees. Building k-nn graphs from large text data. In IEEE International Conference on Big Data, pages 573-578. IEEE, October 2014.
  19. Thibault Debatty, Pietro Michiardi, Olivier Thonnard, and Wim Mees. Scalable graph building from text data. In Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, 2014.
  20. Thibault Debatty, Pietro Michiardi, Olivier Thonnard, and Wim Mees. Scalable Graph Building from Text Data. In Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, 2014.
  21. Wim Mees and Thibault Debatty. Multi-agent system for APT detection. In 2014 IEEE International Symposium on Software Reliability Engineering Workshops, 2014.
  22. Wim Mees and Thibault Debatty. Multi-agent System for APT Detection. In IEEE International Symposium on Software Reliability Engineering Workshops, pages 401-406. IEEE, November 2014.