Roland Meier
Roland Meier
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
NetHide: Secure and practical network topology obfuscation
R Meier, P Tsankov, V Lenders, L Vanbever, M Vechev
27th {USENIX} Security Symposium ({USENIX} Security 18), 693-709, 2018
282018
FeedRank: A tamper-resistant method for the ranking of cyber threat intelligence feeds
R Meier, C Scherrer, D Gugelmann, V Lenders, L Vanbever
2018 10th International Conference on Cyber Conflict (CyCon), 321-344, 2018
122018
itap: In-network traffic analysis prevention using software-defined networks
R Meier, D Gugelmann, L Vanbever
Proceedings of the Symposium on SDN Research, 102-114, 2017
82017
pforest: In-network inference with random forests
C Busse-Grawitz, R Meier, A Dietmüller, T Bühler, L Vanbever
arXiv preprint arXiv:1909.05680, 2019
32019
Detection of Malicious Remote Shell Sessions
P Dumont, R Meier, D Gugelmann, V Lenders
2019 11th International Conference on Cyber Conflict (CyCon) 900, 1-20, 2019
22019
(Self) Driving Under the Influence: Intoxicating Adversarial Network Inputs
R Meier, T Holterbach, S Keck, M Stähli, V Lenders, A Singla, L Vanbever
Proceedings of the 18th ACM Workshop on Hot Topics in Networks, 34-42, 2019
12019
Machine Learninģ-based Detection of C&C Channels with a Focus on the Locked Shields Cyber Defense Exercise
N Känzig, R Meier, L Gambazzi, V Lenders, L Vanbever
2019 11th International Conference on Cyber Conflict (CyCon) 900, 1-19, 2019
12019
General-Purpose Wireless Distance Sensor
R Meier
Master Thesis. Zurich: ETH Zurich, 2014
12014
In-network Anomaly Detection with Programmable Switches
L Vanbever, R Meier
Evaluating and Defeating Network Flow Classifiers Through Adversarial Machine Learning
R Meier, L Gambazzi, L Vanbever
Machine Learning-based Detection of C&C Channels with a Focus on the Locked Shields Cyber Defense Exercise
S Battle, T Minárik, S Alatalu, S Biondi, M Signoretti, I Tolga, G Visky
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