Google Scholar: https://scholar.google.com/citations?user=LOEMjkwAAAAJ&hl=en
Research Gate: https://www.researchgate.net/profile/Sergio-Gutierrez-15?ev=hdr_xprf
Martinez-Zapata, K. D., Ospina-Acero, D., Granada-Torres, J. J., Muñoz-Galeano, N., Gaviria-Gómez, N., Botero-Vega, J. F., & Gutiérrez-Betancur, S. A. (2026). Data-driven load forecasting in microgrids: Integrating external factors for efficient control and decision-making. Energies, 19(2), 555, https://dx.doi.org/10.3390/en19020555
Ríos-Guiral, S., Lahmadi, A., Botero, J. F., & Gutiérrez, S. A. (2025). Leveraging Reinforcement Learning for Traffic Engineering in Programmable Networks: A Survey. IEEE Communications Surveys & Tutorials, 28, 1318-1350., https://dx.doi.org/10.1109/COMST.2025.3632870
Gutiérrez, S. A., Botero, J. F., Fletscher, L., Gaspary, L. P., Gaviria, N., Jacob, E., ... & To, M. A. (2025). Cybersecurity Via Programmable Networks: Are We There Yet?. Journal of Network and Systems Management, 33(4), 1-32., https://dx.doi.org/10.1007/s10922-025-09970-9
E. D. Ramirez-Martinez, J. A. Perez-Diaz, N. M. Yungaicela-Naula, S. A. Gutiérrez and C. Garzón, "Securing IoT Against Slow-Rate DDoS Attacks: Implementation with Tofino P4 ASIC Hardware," in IEEE Access, https:/dx.doi.org/10.1109/ACCESS.2025.3568753.
Tobar-Rosero, O. A., Roa-Romero, O. A., Rueda-Carvajal, G. D., Leal-Piedrahita, A., Botero-Vega, J. F., Gutierrez-Betancur, S. A., Branch-Bedoya, J.W. & Zapata-Madrigal, G. D. (2024). GOOSE Secure: A Comprehensive Dataset for In-Depth Analysis of GOOSE Spoofing Attacks in Digital Substations. Energies, 17(23), 6098., https://dx.doi.org/10.3390/en17236098
C. Lopez, S. Ríos-Guiral, J. Vergara, J. F. Botero and S. A. Gutiérrez, "Network Traffic Analysis Through Flows and Packets with Machine Learning," 2024 IEEE ANDESCON, Cusco, Peru, 2024, pp. 1-6, https://dx.doi.org/10.1109/ANDESCON61840.2024.10755577.
J. A. Parra-Jiménez, S. Armando Gutiérrez-Betancur and J. W. Branch-Bedoya, "A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices," 2024 IEEE Colombian Conference on Communications and Computing (COLCOM), Barranquilla, Colombia, 2024, pp. 1-6, https://doi.org/10.1109/COLCOM62950.2024.10720315.
J. Buzzio-García, J. Vergara, S. Rios-Guiral, C. Garzón, S.A. Gutierrez, J.F. Botero, J.L. Quiroz-Arroyo, J. A. Perez-Diaz, "Exploring Traffic Patterns Through Network Programmability: Introducing SDNFLow, a Comprehensive OpenFlow-Based Statistics Dataset for Attack Detection", in IEEE Access, https://doi.org/10.1109/ACCESS.2024.337827.
C. Garzón, S. Ríos-Guiral, E. Leal, S. A. Gutiérrez and J. F. Botero, P4 Cybersecurity Solutions: Taxonomy and Open Challenges, in IEEE Access, https://doi.org/10.1109/ACCESS.2023.3347332.
Ríos-Guiral, S., Botero, J.F., Gutiérrez-Betancur, S.A., Arregocés, P. (2024). GooseFlowMeter: A Flow Extractor for the Analysis of GOOSE Messages. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Ninth International Congress on Information and Communication Technology. ICICT 2024 2024. Lecture Notes in Networks and Systems, vol 1014. Springer, Singapore. https://doi.org/10.1007/978-981-97-3562-4_20
O. Roa, J. F. Botero, S. A. Gutierrez-Betancur and O. A. Tobar-Rosero, "GOOSEAttacker: Synthetic Attack Generation Tool for IEC61850," 2023 IEEE Latin-American Conference on Communications (LATINCOM), Panama City, Panama, 2023, pp. 1-6, https://doi.org/10.1109/LATINCOM59467.2023.10361897
Gutiérrez S.A., Botero J.F., Gaviria N., Fletscher L.A., Leal E.A., Next-generation power substation communication networks: IEC 61850 meets programmable networks, IEEE Power and Energy Magazine 2023 32. 5 (2023), https://doi.org/10.1109/MPE.2023.3288579
Gutiérrez, S.A., Botero, J.F. & Branch-Bedoya, J.W. An Adaptable and Agnostic Flow Scheduling Approach for Data Center Networks. J Netw Syst Manage 31, 12 (2023). https://doi.org/10.1007/s10922-022-09701-4
Arregoces, P., Vergara, J., Gutiérrez, S. A., & Botero, J. F. (2022, April). Network-based Intrusion Detection: A One-class Classification Approach. In NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium (pp. 1-6). IEEE. DOI: https://doi.org/10.1109/NOMS54207.2022.9789927
Parra, J. A., Gutiérrez, S. A., & Branch, J. W. (2022). A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices. arXiv preprint arXiv:2203.00608.
Gutiérrez, S. A., Branch, J. W., Gaspary, L. P., & Botero, J. F. (2021). Watching Smartly from the Bottom: Intrusion Detection revamped through Programmable Networks and Artificial Intelligence. arXiv preprint arXiv:2106.00239. https://dx.doi.org/10.48550/arXiv.2106.00239
Gutiérrez S.A., Barcellos M., Gaspary L., Branch J.W., "Securing the (crowded) house: Security for Building Operating Systems (BOS) leveraging SDN", LANCOMM - SBRC, 2019, Gramado, Brazil
Gutiérrez S.A., Barcellos M., Branch J.W., "Dynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance" . DYNA ISSN: 0012-7353 ed: Universidad Nacional de Colombia, Sede Medellín v.85 fasc.206 p.19 - 26, 2018, DOI: http://doi.org/10.15446/dyna.v85n206.71626
Gutierrez S.A., Branch J. W. , "A comparison between expert systems and autonomic computing plus mobile agent approaches for fault management." . En: Colombia DYNA ISSN: 0012-7353 ed: Universidad Nacional de Colombia, Sede Medellín, v.78 fasc.168 p.173 - 180 ,2011,
Gutiérrez, S. A., Branch, J. W. (2013, October). "A preliminary application of mobile agents to intrusion detection". In 2013 47th International Carnahan Conference on Security Technology (ICCST) (pp. 1-4). IEEE.
Introduction to Programmable Data Planes with P4: Tutorial presented on IEEE COLCOM 2023 (Bogotá, Colombia).
Deploying traditional machine learning techniques in the data plane using P4: Tutorial presented on IEEE NOMS 2023 (Miami, USA) with Prof. Juan Felipe Botero and Prof. Adrián Lara.
Feature Extraction leveraging Programmable Data Planes for Traffic Analysis based on Machine Learning: Tutorial presented in IEEE Latincom 2022 (Rio de Janeiro - Brazil) with Prof. Juan Felipe Botero and Prof. Adrián Lara.
Programmable Dataplanes Leveraging P4 Programming Language: Tutorial presented in IEEE Andescon 2022 (Barranquilla - Colombia).