Thijs van Ede
Thijs van Ede
PhD Candidate, University of Twente
Verified email at - Homepage
Cited by
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Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic
T van Ede, R Bortolameotti, A Continella, J Ren, DJ Dubois, M Lindorfer, ...
Network and Distributed System Security Symposium (NDSS) 27, 2020
Decanter: Detection of anomalous outbound http traffic by passive application fingerprinting
R Bortolameotti, T van Ede, M Caselli, MH Everts, P Hartel, R Hofstede, ...
Proceedings of the 33rd Annual computer security applications Conference …, 2017
Headprint: detecting anomalous communications through header-based application fingerprinting
R Bortolameotti, T Van Ede, A Continella, T Hupperich, MH Everts, ...
Proceedings of the 35th Annual ACM Symposium on Applied Computing, 1696-1705, 2020
DEEPCASE: Semi-Supervised Contextual Analysis of Security Events
T van Ede, H Aghakhani, N Spahn, R Bortolameotti, M Cova, A Continella, ...
IEEE Security and Privacy, 2022
Victim-Aware Adaptive Covert Channels
R Bortolameotti, T Ede, A Continella, M Everts, W Jonker, P Hartel, ...
International Conference on Security and Privacy in Communication Systems …, 2019
Certainty in lockless concurrent algorithms: An informal proof of lace
T van Ede
Technical Report). University of Twente, 2015
Stepping out of the MUD: Contextual threat information for IoT devices with manufacturer-provided behaviour profiles
LM Zangrandi, T van Ede, T Booij, S Sciancalepore, L Allodi, A Continella
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