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ORCIDUrko Zurutuza
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- affiliation: Mondragon University, Department of Electronics and Computing, Faculty of Engineering, Spain
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Journal Articles
- 2024
[j24]Xabier Sáez de Cámara
, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza:
Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation. IEEE Trans. Dependable Secur. Comput. 21(1): 186-203 (2024)- [j23]Xabier Etxezarreta, Iñaki Garitano, Mikel Iturbe, Urko Zurutuza:
Low delay network attributes randomization to proactively mitigate reconnaissance attacks in industrial control systems. Wirel. Networks 30(6): 5077-5091 (2024) - [j22]Xabier Etxezarreta, Iñaki Garitano, Mikel Iturbe, Urko Zurutuza:
On the use of MiniCPS for conducting rigorous security experiments in Software-Defined Industrial Control Systems. Wirel. Networks 30(8): 7377-7390 (2024) - 2023
- [j21]Xabier Sáez de Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza:
Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks. Comput. Secur. 131: 103299 (2023) - [j20]Xabier Etxezarreta, Iñaki Garitano, Mikel Iturbe, Urko Zurutuza:
Software-Defined Networking approaches for intrusion response in Industrial Control Systems: A survey. Int. J. Crit. Infrastructure Prot. 42: 100615 (2023) - [j19]Iñaki Vélez de Mendizabal, Xabier Vidriales, Vitor Basto-Fernandes, Enaitz Ezpeleta, José Ramón Méndez, Urko Zurutuza:
Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering. Int. J. Interact. Multim. Artif. Intell. 8(4): 46 (2023) - [j18]Iñaki Vélez de Mendizabal, Vitor Basto-Fernandes, Enaitz Ezpeleta, José Ramón Méndez, Silvana Gómez-Meire, Urko Zurutuza:
Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets. PeerJ Comput. Sci. 9: e1240 (2023) - 2022
- [j17]Oscar Serradilla, Ekhi Zugasti, Jon Rodriguez, Urko Zurutuza:
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects. Appl. Intell. 52(10): 10934-10964 (2022) - [j16]Oscar Serradilla, Ekhi Zugasti, Julian Ramirez de Okariz, Jon Rodriguez, Urko Zurutuza:
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge. Int. J. Comput. Integr. Manuf. 35(12): 1310-1334 (2022) - [j15]Unai Izagirre, Imanol Andonegui, Itziar Landa-Torres, Urko Zurutuza:
A practical and synchronized data acquisition network architecture for industrial robot predictive maintenance in manufacturing assembly lines. Robotics Comput. Integr. Manuf. 74: 102287 (2022) - 2021
- [j14]Unai Izagirre, Imanol Andonegui, Luka Eciolaza, Urko Zurutuza:
Towards manufacturing robotics accuracy degradation assessment: A vision-based data-driven implementation. Robotics Comput. Integr. Manuf. 67: 102029 (2021) - 2020
- [j13]Enaitz Ezpeleta, Iñaki Vélez de Mendizabal, José María Gómez Hidalgo, Urko Zurutuza:
Novel email spam detection method using sentiment analysis and personality recognition. Log. J. IGPL 28(1): 83-94 (2020) - [j12]Markel Sainz, Iñaki Garitano, Mikel Iturbe, Urko Zurutuza:
Deep packet inspection for intelligent intrusion detection in software-defined industrial networks: A proof of concept. Log. J. IGPL 28(4): 461-472 (2020) - [j11]Iñaki Vélez de Mendizabal, Vitor Basto-Fernandes, Enaitz Ezpeleta, José Ramón Méndez, Urko Zurutuza:
SDRS: A new lossless dimensionality reduction for text corpora. Inf. Process. Manag. 57(4): 102249 (2020) - 2019
- [j10]Jesus Para, Javier Del Ser, Antonio J. Nebro, Urko Zurutuza, Francisco Herrera:
Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0. Eng. Appl. Artif. Intell. 82: 30-43 (2019) - [j9]Felix Larrinaga, Javier Fernandez-Anakabe, Ekhi Zugasti, Iñaki Garitano, Urko Zurutuza, Jon Olaizola, Mikel Anasagasti, Mikel Mondragon:
A Big Data implementation of the MANTIS reference architecture for predictive maintenance. J. Syst. Control. Eng. 233(10) (2019) - 2018
- [j8]Erkki Jantunen, Unai Gorostegui, Urko Zurutuza, Michele Albano, Luis Lino Ferreira, Csaba Hegedüs, Jaime Campos:
Remote maintenance support with the aid of cyber-physical systems and cloud technology. J. Syst. Control. Eng. 232(6): 784-794 (2018) - 2017
- [j7]Enaitz Ezpeleta, Urko Zurutuza, José María Gómez Hidalgo:
A study of the personalization of spam content using Facebook public information. Log. J. IGPL 25(1): 30-41 (2017) - [j6]Enaitz Ezpeleta, Iñaki Garitano, Urko Zurutuza, José María Gómez Hidalgo:
Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(Supplement-2): 175- (2017) - [j5]Mikel Iturbe, Iñaki Garitano, Urko Zurutuza, Roberto Uribeetxeberria:
Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends. Secur. Commun. Networks 2017: 9150965:1-9150965:17 (2017) - 2016
- [j4]Silvia González, Álvaro Herrero, Javier Sedano, Urko Zurutuza, Emilio Corchado:
Different approaches for the detection of SSH anomalous connections. Log. J. IGPL 24(1): 104-114 (2016) - [j3]Oscar Somarriba Jarquín, Urko Zurutuza, Roberto Uribeetxeberria, Laurent Delosières, Simin Nadjm-Tehrani:
Detection and Visualization of Android Malware Behavior. J. Electr. Comput. Eng. 2016: 8034967:1-8034967:17 (2016) - [j2]Enaitz Ezpeleta, Urko Zurutuza, José María Gómez Hidalgo:
Using Personality Recognition Techniques to Improve Bayesian Spam Filtering. Proces. del Leng. Natural 57: 125-132 (2016) - 2012
- [j1]Álvaro Herrero, Urko Zurutuza, Emilio Corchado:
A Neural-Visualization IDS for Honeynet Data. Int. J. Neural Syst. 22(2) (2012)
Conference and Workshop Papers
- 2023
- [c29]Xabier Sáez de Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza:
Federated Explainability for Network Anomaly Characterization. RAID 2023: 346-365 - 2021
- [c28]Daniel Reguera-Bakhache, Iñaki Garitano, Carlos Cernuda, Roberto Uribeetxeberria, Urko Zurutuza, Ganix Lasa:
An Adaptive Industrial Human-Machine Interface to Optimise Operators Working Performance. AIM 2021: 1213-1219 - 2020
- [c27]Daniel Reguera-Bakhache, Iñaki Garitano, Roberto Uribeetxeberria, Carlos Cernuda, Urko Zurutuza:
Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization. ETFA 2020: 518-525 - [c26]Oscar Serradilla, Ekhi Zugasti, Carlos Cernuda, Andoitz Aranburu, Julian Ramirez de Okariz, Urko Zurutuza:
Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery. FUZZ-IEEE 2020: 1-8 - 2018
- [c25]Felix Larrinaga, Javier Fernandez-Anakabe, Ekhi Zugasti, Iñaki Garitano, Urko Zurutuza, Mikel Anasagasti, Mikel Mondragon:
Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance. CoDIT 2018: 773-778 - [c24]Ekhi Zugasti, Mikel Iturbe, Iñaki Garitano, Urko Zurutuza:
Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments. GIoTS 2018: 1-6 - [c23]Enaitz Ezpeleta, Mikel Iturbe, Iñaki Garitano, Iñaki Vélez de Mendizabal, Urko Zurutuza:
A Mood Analysis on Youtube Comments and a Method for Improved Social Spam Detection. HAIS 2018: 514-525 - 2017
- [c22]Enaitz Ezpeleta, Iñaki Garitano, Ignacio Arenaza-Nuño, José María Gómez Hidalgo, Urko Zurutuza:
Novel Comment Spam Filtering Method on Youtube: Sentiment Analysis and Personality Recognition. ICWE Workshops 2017: 228-240 - [c21]Markel Sainz, Mikel Iturbe, Iñaki Garitano, Urko Zurutuza:
Software Defined Networking Opportunities for Intelligent Security Enhancement of Industrial Control Systems. SOCO-CISIS-ICEUTE 2017: 577-586 - 2016
- [c20]Enaitz Ezpeleta, Urko Zurutuza, José María Gómez Hidalgo:
Short Messages Spam Filtering Using Personality Recognition. CERI 2016: 7 - [c19]Erkki Jantunen, Urko Zurutuza, Luis Lino Ferreira, Pál Varga:
Optimising maintenance: What are the expectations for Cyber Physical Systems. EITEC@CPSWeek 2016: 53-58 - [c18]Mikel Iturbe, José Camacho, Iñaki Garitano, Urko Zurutuza, Roberto Uribeetxeberria:
On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems Using Multivariate Statistical Process Control. DSN Workshops 2016: 155-160 - [c17]Mikel Iturbe, Iñaki Garitano, Urko Zurutuza, Roberto Uribeetxeberria:
Visualizing Network Flows and Related Anomalies in Industrial Networks using Chord Diagrams and Whitelisting. VISIGRAPP (2: IVAPP) 2016: 101-108 - [c16]Enaitz Ezpeleta, Urko Zurutuza, José María Gómez Hidalgo:
Does Sentiment Analysis Help in Bayesian Spam Filtering? HAIS 2016: 79-90 - [c15]Enaitz Ezpeleta, Urko Zurutuza, José María Gómez Hidalgo:
Short Messages Spam Filtering Using Sentiment Analysis. TSD 2016: 142-153 - 2015
- [c14]Enaitz Ezpeleta, Urko Zurutuza, José María Gómez Hidalgo:
An Analysis of the Effectiveness of Personalized Spam Using Online Social Network Public Information. CISIS-ICEUTE 2015: 497-506 - 2013
- [c13]Silvia González, Javier Sedano, Urko Zurutuza, Enaitz Ezpeleta, Diego Martínez, Álvaro Herrero, Emilio Corchado:
Classification of SSH Anomalous Connections. SOCO-CISIS-ICEUTE 2013: 479-488 - 2012
- [c12]Keldor Gerrigagoitia, Roberto Uribeetxeberria, Urko Zurutuza, Ignacio Arenaza:
Reputation-based Intrusion Detection System for wireless sensor networks. COMPENG 2012: 1-5 - [c11]Iñaki Garitano, Christos Siaterlis, Béla Genge, Roberto Uribeetxeberria, Urko Zurutuza:
A method to construct network traffic models for process control systems. ETFA 2012: 1-8 - 2011
- [c10]Iker Burguera, Urko Zurutuza, Simin Nadjm-Tehrani:
Crowdroid: behavior-based malware detection system for Android. SPSM@CCS 2011: 15-26 - [c9]Ekhiotz Jon Vergara, Simin Nadjm-Tehrani, Mikael Asplund, Urko Zurutuza:
Resource Footprint of a Manycast Protocol Implementation on Multiple Mobile Platforms. NGMAST 2011: 154-160 - [c8]Iñaki Garitano, Roberto Uribeetxeberria, Urko Zurutuza:
A Review of SCADA Anomaly Detection Systems. SOCO 2011: 357-366 - [c7]Urko Zurutuza, Enaitz Ezpeleta, Álvaro Herrero, Emilio Corchado:
Visualization of Misuse-Based Intrusion Detection: Application to Honeynet Data. SOCO 2011: 561-570 - 2010
- [c6]Álvaro Alonso, Santiago Porras, Enaitz Ezpeleta, Ekhiotz Jon Vergara, Ignacio Arenaza, Roberto Uribeetxeberria, Urko Zurutuza, Álvaro Herrero, Emilio Corchado:
Understanding Honeypot Data by an Unsupervised Neural Visualization. CISIS 2010: 151-160 - [c5]Manuel J. Martínez, Roberto Uribeetxeberria, Urko Zurutuza, Miguel Fernández:
The Impact of the SHA-3 Casting Cryptography Competition on the Spanish IT Market. CISIS 2010: 191-199 - 2009
- [c4]Rosa Basagoiti, Urko Zurutuza, Asier Aztiria, Guzmán Santafé, Mario Reyes:
Clustering of Windows Security Events by Means of Frequent Pattern Mining. CISIS 2009: 19-27 - 2008
- [c3]Asier Martínez, Urko Zurutuza, Roberto Uribeetxeberria, Miguel Fernández, Jesus Lizarraga, Ainhoa Serna, Iñaki Vélez:
Beacon Frame Spoofing Attack Detection in IEEE 802.11 Networks. ARES 2008: 520-525 - [c2]Urko Zurutuza, Roberto Uribeetxeberria, Diego Zamboni:
A data mining approach for analysis of worm activity through automatic signature generation. AISec 2008: 61-70 - 2007
- [c1]Urko Zurutuza, Roberto Uribeetxeberria, Ekain Azketa, G. Gil, Jesus Lizarraga, Miguel Fernández:
Combined Data Mining Approach for Intrusion Detection. SECRYPT 2007: 67-73
Parts in Books or Collections
- 2019
- [p1]Iñaki Garitano, Mikel Iturbe, Enaitz Ezpeleta, Urko Zurutuza:
Who's There? Evaluating Data Source Integrity and Veracity in IIoT Using Multivariate Statistical Process Control. Security and Privacy Trends in the Industrial Internet of Thing 2019: 181-198
Editorship
- 2016
- [e1]Juan Caballero, Urko Zurutuza, Ricardo J. Rodríguez:
Detection of Intrusions and Malware, and Vulnerability Assessment - 13th International Conference, DIMVA 2016, San Sebastián, Spain, July 7-8, 2016, Proceedings. Lecture Notes in Computer Science 9721, Springer 2016, ISBN 978-3-319-40666-4 [contents]
Informal and Other Publications
- 2023
- [i6]Xabier Sáez de Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza:
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks. CoRR abs/2303.15986 (2023) - 2022
- [i5]Xabier Sáez de Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza:
Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation. CoRR abs/2207.13981 (2022) - 2020
- [i4]Oscar Serradilla, Ekhi Zugasti, Urko Zurutuza:
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect. CoRR abs/2010.03207 (2020) - 2019
- [i3]Erkki Jantunen, Urko Zurutuza, Luis Lino Ferreira, Pál Varga:
Optimising maintenance: What are the expectations for Cyber Physical Systems. CoRR abs/1903.12644 (2019) - [i2]Javier Fernandez-Anakabe, Ekhi Zugasti Uriguen, Urko Zurutuza Ortega:
An Attribute Oriented Induction based Methodology for Data Driven Predictive Maintenance. CoRR abs/1912.00662 (2019) - 2017
- [i1]Mikel Iturbe, José Camacho, Iñaki Garitano, Urko Zurutuza, Roberto Uribeetxeberria:
On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems Using Multivariate Statistical Process Control. CoRR abs/1706.01679 (2017)
Coauthor Index
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