Urko Zurutuza

发表

Crowdroid: behavior-based malware detection system for Android

Simin Nadjm-Tehrani, Urko Zurutuza, Iker Burguera, 2011, SPSM '11.

Towards manufacturing robotics accuracy degradation assessment: A vision-based data-driven implementation

Luka Eciolaza, Urko Zurutuza, Unai Izagirre, 2021, Robotics Comput. Integr. Manuf..

Resource Footprint of a Manycast Protocol Implementation on Multiple Mobile Platforms

Simin Nadjm-Tehrani, Ekhiotz Jon Vergara, Mikael Asplund, 2011, 2011 Fifth International Conference on Next Generation Mobile Applications, Services and Technologies.

INTRUSION DETECTION ALARM CORRELATION: A SURVEY

Urko Zurutuza, Roberto Uribeetxeberria, 2004 .

Performance Degradation Monitoring and Quantification: A Wastewater Treatment Plant Case Study

Luka Eciolaza, Urko Zurutuza, Peter Craamer, 2019, Predictive Maintenance in Dynamic Systems.

5 Providing Proactiveness : Data Analysis Techniques Portfolios

Javier Fernandez Anakabe, Lambert Schomaker, Carlos Soares, 2018 .

Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis

José María Gómez Hidalgo, Enaitz Ezpeleta, Urko Zurutuza, 2017, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation

A. Urbieta, Urko Zurutuza, J. L. Flores, 2022, 2207.13981.

Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation

Xabier Sáez de Cámara, A. Urbieta, Urko Zurutuza, 2022, IEEE Transactions on Dependable and Secure Computing.

Proceedings of the 13th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment - Volume 9721

Ricardo J. Rodríguez, Juan Caballero, Urko Zurutuza, 2016 .

Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge

Julian Ramirez de Okariz, Urko Zurutuza, E. Zugasti, 2022, Int. J. Comput. Integr. Manuf..

An Adaptive Industrial Human-Machine Interface to Optimise Operators Working Performance

Carlos Cernuda, Roberto Uribeetxeberria, Urko Zurutuza, 2021, 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

Visualizing Network Flows and Related Anomalies in Industrial Networks using Chord Diagrams and Whitelisting

Mikel Iturbe, Roberto Uribeetxeberria, Urko Zurutuza, 2016, VISIGRAPP.

On the Visualization of Honeypot Data through Projection Techniques

Álvaro Herrero, Emilio Corchado, Santiago Porras, 2010 .

Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0

Francisco Herrera, Javier Del Ser, Antonio J. Nebro, 2019, Eng. Appl. Artif. Intell..

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects

Urko Zurutuza, E. Zugasti, Oscar Serradilla, 2022, Applied Intelligence.

Using Personality Recognition Techniques to Improve Bayesian Spam Filtering

José María Gómez Hidalgo, Enaitz Ezpeleta, Urko Zurutuza, 2016, Proces. del Leng. Natural.

Does Sentiment Analysis Help in Bayesian Spam Filtering?

José María Gómez Hidalgo, Enaitz Ezpeleta, Urko Zurutuza, 2016, HAIS.

A practical and synchronized data acquisition network architecture for industrial robot predictive maintenance in manufacturing assembly lines

Itziar Landa-Torres, Urko Zurutuza, Unai Izagirre, 2022, Robotics Comput. Integr. Manuf..

Short Messages Spam Filtering Using Personality Recognition

José María Gómez Hidalgo, Enaitz Ezpeleta, Urko Zurutuza, 2016, CERI.

Detection of Intrusions and Malware, and Vulnerability Assessment

Ricardo J. Rodríguez, Urko Zurutuza, Juan Caballero, 2016, Lecture Notes in Computer Science.

Novel email spam detection method using sentiment analysis and personality recognition

José María Gómez Hidalgo, Enaitz Ezpeleta, Urko Zurutuza, 2020, Log. J. IGPL.

Novel Comment Spam Filtering Method on Youtube: Sentiment Analysis and Personality Recognition

José María Gómez Hidalgo, Enaitz Ezpeleta, Urko Zurutuza, 2017, ICWE Workshops.

Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery

Urko Zurutuza, Ekhi Zugasti, Carlos Cernuda, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems Using Multivariate Statistical Process Control

Mikel Iturbe, José Camacho, Roberto Uribeetxeberria, 2016, 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W).

Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets

Silvana Gómez Meire, Vítor Basto Fernandes, Iñaki Vélez de Mendizabal, 2023, PeerJ Comput. Sci..

SDRS: A new lossless dimensionality reduction for text corpora

José Ramon Méndez, Vítor Basto Fernandes, Enaitz Ezpeleta, 2020, Inf. Process. Manag..

Short Messages Spam Filtering Using Sentiment Analysis

José María Gómez Hidalgo, Enaitz Ezpeleta, Urko Zurutuza, 2016, TSD.

Spam Filtering Using Sentiment Analysis

Urko Zurutuza, J. M. G. Hidalgo, Enaitz Ezpeleta, 2016 .

Software-Defined Networking approaches for intrusion response in Industrial Control Systems: A survey

Urko Zurutuza, Iñaki Garitano, Mikel Iturbe, 2023, Int. J. Crit. Infrastructure Prot..

A method to construct network traffic models for process control systems

Béla Genge, Christos Siaterlis, Roberto Uribeetxeberria, 2012, Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012).

Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data

Urko Zurutuza, E. Zugasti, Oscar Serradilla, 2021, Applied Sciences.

Detection and Visualization of Android Malware Behavior

Simin Nadjm-Tehrani, Roberto Uribeetxeberria, Oscar Somarriba Jarquín, 2016, J. Electr. Comput. Eng..

Beacon Frame Spoofing Attack Detection in IEEE 802.11 Networks

Ainhoa Serna Nocedal, Roberto Uribeetxeberria, Urko Zurutuza, 2008, 2008 Third International Conference on Availability, Reliability and Security.

Reputation-based Intrusion Detection System for wireless sensor networks

Roberto Uribeetxeberria, Urko Zurutuza, Ignacio Arenaza, 2012, 2012 Complexity in Engineering (COMPENG). Proceedings.

Classification of SSH Anomalous Connections

Álvaro Herrero, Emilio Corchado, Diego Martínez, 2013, SOCO-CISIS-ICEUTE.

Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends

Mikel Iturbe, Roberto Uribeetxeberria, Urko Zurutuza, 2017, Secur. Commun. Networks.

Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect pdf

Urko Zurutuza, Ekhi Zugasti, Oscar Serradilla, 2020, ArXiv.

A Neural-Visualization IDS for Honeynet Data

Álvaro Herrero, Emilio Corchado, Urko Zurutuza, 2012, Int. J. Neural Syst..

Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

Xabier Sáez de Cámara, A. Urbieta, Urko Zurutuza, 2023, Comput. Secur..

Federated Explainability for Network Anomaly Characterization

A. Urbieta, Urko Zurutuza, Jose Luis Flores, 2023, RAID.

Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation

Xabier Sáez de Cámara, A. Urbieta, Urko Zurutuza, 2022, IEEE Transactions on Dependable and Secure Computing.

Data-Driven Industrial Human-Machine Interface Temporal Adaptation for Process Optimization

Roberto Uribeetxeberria, Urko Zurutuza, Daniel Reguera-Bakhache, 2020, 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).

Combined Data Mining Approach for Intrusion Detection

Roberto Uribeetxeberria, Urko Zurutuza, E. Azketa, 2018, SECRYPT.

The Way Cyber Physical Systems Will Revolutionise Maintenance

Erkki Jantunen, Michele Albano, Pedro Malo, 2017 .

A study of the personalization of spam content using Facebook public information

José María Gómez Hidalgo, Enaitz Ezpeleta, Urko Zurutuza, 2017, Log. J. IGPL.

An Analysis of the Effectiveness of Personalized Spam Using Online Social Network Public Information

José María Gómez Hidalgo, Enaitz Ezpeleta, Urko Zurutuza, 2015, CISIS-ICEUTE.