| An empirical comparison of botnet detection methods S Garcia, M Grill, J Stiborek, A Zunino computers & security 45, 100-123, 2014 | 987 | 2014 |
| A survey of privacy attacks in machine learning M Rigaki, S Garcia ACM Computing Surveys 56 (4), 1-34, 2023 | 302 | 2023 |
| 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 | 266 | 2020 |
| 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 | 210 | 2016 |
| 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 | 150 | 2018 |
| Survey on Network-based Botnet Detection Methods S García, A Zunnino, M Campo Security and Communications Networks, 2013 | 143 | 2013 |
| A labeled dataset with malicious and benign iot network traffic A Parmisano, S Garcia, MJ Erquiaga Stratosphere Laboratory: Praha, Czech Republic, 2020 | 109 | 2020 |
| Malware capture facility project S Garcia, V Uhlir cvut, 2013 | 52 | 2013 |
| Modelling the network behaviour of malware to block malicious patterns. the stratosphere project: a behavioural ips S Garcia Virus Bulletin, 1-8, 2015 | 46 | 2015 |
| 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 | 35 | 2021 |
| 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 | 35 | 2014 |
| Stratosphere Laboratory. A labeled dataset with malicious and benign IoT network traffic A Parmisano, S Garcia, MJ Erquiaga January, 2020 | 31 | 2020 |
| Bringing a gan to a knife-fight: Adapting malware communication to avoid detection. In 2018 IEEE Security and Privacy Workshops (SPW) M Rigaki, S Garcia San Francisco, CA, 70-75, 2018 | 30 | 2018 |
| 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 | 29 | 2020 |
| Las tecnologías en (y para) la educación J García, S García Montevideo: FLACSO. Recuperado de https://www. flacso. edu. uy/publicaciones …, 2020 | 28 | 2020 |
| Botnet Behavior Detection using Network Synchronism S García, A Zunnino, M Campo IGI Global, 2011 | 24 | 2011 |
| Botnet Behavior Detection using Network Synchronism S García, A Zunnino, M Campo 39JAIIO, Proceedings of the Argentine Symposium on Technology (AST2010 …, 2010 | 24 | 2010 |
| Llm in the shell: Generative honeypots M Sladić, V Valeros, C Catania, S Garcia arXiv preprint arXiv:2309.00155, 2023 | 21 | 2023 |
| Growth and commoditization of remote access trojans V Valeros, S Garcia 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2020 | 20 | 2020 |
| Enisa threat landscape for supply chain attacks I Lella, M Theocharidou, E Tsekmezoglou, A Malatras, S García ENISA, 2021 | 18 | 2021 |
Maria RigakiCzech Technical University in PragueVerified email at aic.fel.cvut.cz
