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Sebastian Garcia
Sebastian Garcia
Researcher in Czech Technical University in Prague [CTU, FEE]. PhD.
Verified email at agents.fel.cvut.cz - Homepage
Title
Cited by
Cited by
Year
An empirical comparison of botnet detection methods
S Garcia, M Grill, J Stiborek, A Zunino
computers & security 45, 100-123, 2014
6652014
An analysis of recurrent neural networks for botnet detection behavior
P Torres, C Catania, S Garcia, CG Garino
2016 IEEE biennial congress of Argentina (ARGENCON), 1-6, 2016
1492016
Survey on Network-based Botnet Detection Methods
S García, A Zunnino, M Campo
Security and Communications Networks, 2013
1282013
Bringing a gan to a knife-fight: Adapting malware communication to avoid detection
M Rigaki, S Garcia
2018 IEEE Security and Privacy Workshops (SPW), 70-75, 2018
1022018
A survey of privacy attacks in machine learning
M Rigaki, S Garcia
arXiv preprint arXiv:2007.07646, 2020
872020
IoT-23: A labeled dataset with malicious and benign IoT network traffic
S Garcia, A Parmisano, MJ Erquiaga
Stratosphere Lab., Praha, Czech Republic, Tech. Rep, 2020
512020
Modelling the network behaviour of malware to block malicious patterns. the stratosphere project: a behavioural ips
S Garcia
Virus Bulletin, 1-8, 2015
372015
A labeled dataset with malicious and benign iot network traffic
A Parmisano, S Garcia, MJ Erquiaga
Stratosphere Laboratory: Praha, Czech Republic, 2020
312020
Malware capture facility project
S Garcia, V Uhlir
cvut, 2013
312013
Identifying and modeling botnet C&C behaviors
S García, V Uhlíř, M Rehak
Proceedings of the 1st International Workshop on Agents and CyberSecurity, 1-8, 2014
302014
Botnet Behavior Detection using Network Synchronism
S García, A Zunnino, M Campo
IGI Global, 2011
232011
Botnet Behavior Detection using Network Synchronism
S García, A Zunnino, M Campo
39JAIIO, Proceedings of the Argentine Symposium on Technology (AST2010 …, 2010
232010
Stratosphere laboratory. a labeled dataset with malicious and benign IoT network traffic
A Parmisano, S Garcia, MJ Erquiaga
202019
An empirical study of the robustness of energy-aware schedulers for high performance computing systems under uncertainty
S Iturriaga, S García, S Nesmachnow
Latin American High Performance Computing Conference, 143-157, 2014
152014
Abonos verdes
S García, M Martínez
México. Dirección General de Apoyos para el Desarrollo Rural. Montecillo, 2004
142004
Detecting DGA malware traffic through behavioral models
MJ Erquiaga, C Catania, S García
2016 IEEE Biennial Congress of Argentina (ARGENCON), 1-6, 2016
132016
DNS tunneling: A deep learning based lexicographical detection approach
F Palau, C Catania, J Guerra, S Garcia, M Rigaki
arXiv preprint arXiv:2006.06122, 2020
122020
Las tecnologías en (y para) la educación
J García, S García
Montevideo, Uruguay: FLACSO Editorial. Recuperado el 28, 2020
122020
Large scale measurement on the adoption of encrypted DNS
S García, K Hynek, D Vekshin, T Čejka, A Wasicek
arXiv preprint arXiv:2107.04436, 2021
102021
The CTU-13 dataset. a labeled dataset with botnet, normal and background traffic
S Garcia, V Uhlir
S. Lab, Ed., ed, 2014
102014
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