Urko holds a PhD in Computer Science at Mondragon University. He combines lectures on Engineering, training to companies, and research in Network Security, Smartphone Security, and applying Data Mining algorithms to solve real world problems (Industry Proceses, Social Media Analysis, e-Learning Environments,...). |
- Álvaro Herrero, Urko Zurutuza, and Emilio. A neural-visualization ids for honeynet data. International Journal on Neural Systems, 22(2):121-128, April 2012.
- Iker Burguera, Urko Zurutuza, and Simin Nadjm-Tehrani. Crowdroid: behavior-based malware detection system for android. In Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices, SPSM '11, pages 15-26, New York, NY, USA, 2011. ACM. ISBN 978-1-4503-1000-0.
- Urko Zurutuza, Enaitz Ezpeleta, lvaro Herrero, and Emilio Corchado. Visualization of misuse-based intrusion detection: Application to honeynet data. In 6th International Conference in Soft Computing Models in Industrial and Environmental Applications, SOCO 2011, volume 87 of Advances in Intelligent and Soft Computing, pages 561-570. Springer Berlin / Heidelberg, 2011. ISBN 978-3-642-19643-0.
- Urko Zurutuza, Roberto Uribeetxeberria, and Diego Zamboni. A data mining approach for analysis of worm activity through automatic signature generation. In AISec '08: Proceedings of the 1st ACM workshop on Workshop on AISec, pages 61-70, New York, NY, USA, 2008. ACM. ISBN 978-1-60558-291-7.
- Asier Martnez, Urko Zurutuza, Roberto Uribeetxeberria, Miguel Fernandez, Jesus Lizarraga, and Ainhoa Serna. Beacon frame spoofing attack detection in IEEE 802.11 networks. In Proceedings of the Third International Conference on Availability, Reliability and Security (ARES 2008), Barcelona, Spain, March 2008. IEEE Computer Society Press.
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