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Urko Zurutuza Ortega
Urko Zurutuza Ortega
Mondragon Unibertsitatea - Data Analysis & Cybersecurity (ROR 00wvqgd19)
Verificeret mail på mondragon.edu - Startside
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År
Crowdroid: behavior-based malware detection system for Android
I Burguera, U Zurutuza, S Nadjm-Tehrani
Proceedings of the 1st ACM workshop on Security and privacy in smartphones …, 2011
15392011
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
O Serradilla, E Zugasti, J Rodriguez, U Zurutuza
Applied Intelligence 52 (10), 10934-10964, 2022
1102022
A review of SCADA anomaly detection systems
I Garitano, R Uribeetxeberria, U Zurutuza
Soft computing models in industrial and environmental applications, 6th …, 2011
802011
A neural-visualization IDS for honeynet data
A Herrero, U Zurutuza, E Corchado
International Journal of Neural Systems 22 (02), 1250005, 2012
502012
Detection and visualization of android malware behavior
O Somarriba, U Zurutuza, R Uribeetxeberria, L Delosières, ...
Journal of Electrical and Computer Engineering 2016, 2016
452016
Reputation-based Intrusion Detection System for wireless sensor networks
K Gerrigagoitia, R Uribeetxeberria, U Zurutuza, I Arenaza
2012 IEEE Workshop on Complexity in Engineering (COMPENG), 2012
452012
Optimising maintenance: What are the expectations for Cyber Physical Systems
E Jantunen, U Zurutuza, LL Ferreira, P Varga
2016 3rd International Workshop on Emerging Ideas and Trends in Engineering …, 2016
432016
Adaptable and explainable predictive maintenance: Semi-supervised deep learning for anomaly detection and diagnosis in press machine data
O Serradilla, E Zugasti, J Ramirez de Okariz, J Rodriguez, U Zurutuza
Applied Sciences 11 (16), 7376, 2021
412021
Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery
O Serradilla, E Zugasti, C Cernuda, A Aranburu, JR de Okariz, U Zurutuza
2020 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2020
372020
Intrusion detection alarm correlation: a survey
U Zurutuza, R Uribeetxeberria
Proceedings of IADAT International Conference on Telecommunications and …, 2004
372004
Beacon frame spoofing attack detection in IEEE 802.11 networks
A Martínez, U Zurutuza, R Uribeetxeberria, M Fernández, J Lizarraga, ...
2008 Third international conference on availability, reliability and …, 2008
342008
Does sentiment analysis help in bayesian spam filtering?
E Ezpeleta, U Zurutuza, JM Gómez Hidalgo
Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016
282016
Towards large-scale, heterogeneous anomaly detection systems in industrial networks: A survey of current trends
M Iturbe, I Garitano, U Zurutuza, R Uribeetxeberria
Security and Communication Networks 2017, 2017
272017
A data mining approach for analysis of worm activity through automatic signature generation
U Zurutuza, R Uribeetxeberria, D Zamboni
Proceedings of the 1st ACM workshop on Workshop on AISec, 61-70, 2008
262008
Novel email spam detection method using sentiment analysis and personality recognition
E Ezpeleta, I Velez de Mendizabal, JMG Hidalgo, U Zurutuza
Logic Journal of the IGPL 28 (1), 83-94, 2020
252020
Analyze, sense, preprocess, predict, implement, and deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0
J Para, J Del Ser, AJ Nebro, U Zurutuza, F Herrera
Engineering Applications of Artificial Intelligence 82, 30-43, 2019
242019
The MANTIS book: cyber physical system based proactive collaborative maintenance
M Albano, U Zurutuza
CRC Press, 2022
212022
A practical and synchronized data acquisition network architecture for industrial robot predictive maintenance in manufacturing assembly lines
U Izagirre, I Andonegui, I Landa-Torres, U Zurutuza
Robotics and Computer-Integrated Manufacturing 74, 102287, 2022
212022
Towards manufacturing robotics accuracy degradation assessment: A vision-based data-driven implementation
U Izagirre, I Andonegui, L Eciolaza, U Zurutuza
Robotics and Computer-Integrated Manufacturing 67, 102029, 2021
212021
On the feasibility of distinguishing between process disturbances and intrusions in process control systems using multivariate statistical process control
M Iturbe, J Camacho, I Garitano, U Zurutuza, R Uribeetxeberria
2016 46th Annual IEEE/IFIP International Conference on Dependable Systems …, 2016
202016
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Artikler 1–20