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Urko Zurutuza
Urko Zurutuza
Verified email at mondragon.edu - Homepage
Title
Cited by
Cited by
Year
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
14602011
A review of SCADA anomaly detection systems
I Garitano, R Uribeetxeberria, U Zurutuza
Soft computing models in industrial and environmental applications, 6th …, 2011
742011
A neural-visualization ids for honeynet data
A Herrero, U Zurutuza, E Corchado
International Journal of Neural Systems 22 (02), 1250005, 2012
492012
Detection and visualization of android malware behavior
O Somarriba, U Zurutuza, R Uribeetxeberria, L Delosières, ...
Journal of Electrical and Computer Engineering 2016, 2016
422016
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
412012
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
402016
Intrusion detection alarm correlation: a survey
U Zurutuza, R Uribeetxeberria
Proceedings of IADAT International Conference on Telecommunications and …, 2004
372004
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
O Serradilla, E Zugasti, J Rodriguez, U Zurutuza
Applied Intelligence, 1-31, 2022
262022
Does sentiment analysis help in bayesian spam filtering?
E Ezpeleta, U Zurutuza, JM Gómez Hidalgo
International Conference on Hybrid Artificial Intelligence Systems, 79-90, 2016
252016
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
252008
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
212017
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
202008
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
182020
The MANTIS book: cyber physical system based proactive collaborative maintenance
M Albano, U Zurutuza
CRC Press, 2022
172022
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
172019
The way cyber physical systems will revolutionise maintenance
E Jantunen, U Zurutuza, M Albano, G di Orio, P Maló, C Hegedus
30th Conference on Condition Monitoring and Diagnostic Engineering Management, 2017
172017
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
172016
Resource footprint of a manycast protocol implementation on multiple mobile platforms
EJ Vergara, S Nadjm-Tehrani, M Asplund, U Zurutuza
Next Generation Mobile Applications, Services and Technologies (NGMAST …, 2011
172011
A method to construct network traffic models for process control systems
I Garitano, C Siaterlis, B Genge, R Uribeetxeberria, U Zurutuza
Proceedings of 2012 IEEE 17th International Conference on Emerging …, 2012
162012
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
142021
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Articles 1–20