| An empirical comparison of botnet detection methods S Garcia, M Grill, J Stiborek, A Zunino computers & security 45, 100-123, 2014 | 747 | 2014 |
| 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 | 161 | 2016 |
| Survey on Network-based Botnet Detection Methods S García, A Zunnino, M Campo Security and Communications Networks, 2013 | 133 | 2013 |
| A survey of privacy attacks in machine learning M Rigaki, S Garcia arXiv preprint arXiv:2007.07646, 2020 | 117 | 2020 |
| 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 | 116 | 2018 |
| A labeled dataset with malicious and benign iot network traffic A Parmisano, S Garcia, MJ Erquiaga Stratosphere Laboratory: Praha, Czech Republic, 2020 | 107 | 2020 |
| Modelling the network behaviour of malware to block malicious patterns. the stratosphere project: a behavioural ips S Garcia Virus Bulletin, 1-8, 2015 | 41 | 2015 |
| Malware capture facility project S Garcia, V Uhlir cvut, 2013 | 35 | 2013 |
| 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 | 32 | 2014 |
| IoT-23: A labeled dataset with malicious and benign IoT network traffic (Version 1.0. 0)[Data set]. Zenodo S Garcia, A Parmisano, MJ Erquiaga | 29 | 2020 |
| Stratosphere Laboratory. A labeled dataset with malicious and benign IoT network traffic A Parmisano, S Garcia, MJ Erquiaga Zenodo, 2020 | 26 | 2020 |
| Botnet Behavior Detection using Network Synchronism S García, A Zunnino, M Campo IGI Global, 2011 | 23 | 2011 |
| Botnet Behavior Detection using Network Synchronism S García, A Zunnino, M Campo 39JAIIO, Proceedings of the Argentine Symposium on Technology (AST2010 …, 2010 | 23 | 2010 |
| 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 | 16 | 2021 |
| 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 | 16 | 2020 |
| An empirical study of the robustness of energy-aware schedulers for high performance computing systems under uncertainty S Iturriaga, S García, S Nesmachnow High Performance Computing: First HPCLATAM-CLCAR Latin American Joint …, 2014 | 15 | 2014 |
| Abonos verdes S García, M Martínez México. Dirección General de Apoyos para el Desarrollo Rural. Montecillo, 2004 | 15 | 2004 |
| Detecting DGA malware traffic through behavioral models MJ Erquiaga, C Catania, S García 2016 IEEE Biennial Congress of Argentina (ARGENCON), 1-6, 2016 | 14 | 2016 |
| Las tecnologías en (y para) la educación J García, S García Montevideo, Uruguay: FLACSO Editorial. Recuperado el 28, 2020 | 13 | 2020 |
| The CTU-13 dataset. a labeled dataset with botnet, normal and background traffic S Garcia, V Uhlir S. Lab, Ed., ed, 2014 | 12 | 2014 |
Maria RigakiCzech Technical University in PragueBestätigte E-Mail-Adresse bei aic.fel.cvut.cz
