E-LIB Suche - Ergebnisse für: Ortega, Urko Zurutuza

1

An Attribute Oriented Induction based Methodology for Data ..:

Fernandez-Anakabe, Javier ; Uriguen, Ekhi Zugasti ; Ortega, Urko Zurutuza
http://arxiv.org/abs/1912.00662. , 2019

2

Different approaches for the detection of SSH anomalous con..:

González González, Silvia ; Herrero Cosío, Álvaro ; Sedano Franco, Javier..
LOGIC JOURNAL OF THE IGPL. Volumen 24 (1), pp. 104-114. Oxford Journals .. , 2016

Link: http://hdl.handle.net/10..

3

Classification of SSH Anomalous Connections:

González, Silvia ; Sedano Franco, Javier ; Zurutuza Ortega, Urko...
International Joint Conference SOCO'13-CISIS'13-ICEUTE'13 Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing. Volumen 239, pp. 479-488.. , 2014

Link: http://hdl.handle.net/10..

4

A neural-visualization IDS for honeynet data:

Herrero Cosío, Álvaro ; Zurutuza Ortega, Urko ; Corchado Rodríguez, Emilio Santiago
International Journal of Neural Systems. Volumen 22 (02), pp. 1250005. World Scientific Pub Co Pte Lt.. , 2012

Link: http://hdl.handle.net/10..

5

Visualization of Misuse-Based Intrusion Detection: Applicat..:

Zurutuza Ortega, Urko ; Ezpeleta Gallastegi, Enaitz ; Corchado Rodríguez, Emilio Santiago.
Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 87, pp. 561-570.. , 2011

Link: http://hdl.handle.net/10..

6

Understanding Honeypot Data by an Unsupervised Neural Visua..:

Alonso, Álvaro ; Porras, Santiago ; Ezpeleta Gallastegi, Enaitz...
Computational Intelligence in Security for Information Systems 2010 Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 85, pp. 151-160.. , 2010

Link: http://hdl.handle.net/10..

7

On the use of MiniCPS for conducting rigorous security expe..:

Etxezarreta, Xabier ; Garitano, Iñaki ; Iturbe, Mikel.
Wireless Networks. , 2024

Link: https://doi.org/10.1007/..

8

Federated Explainability for Network Anomaly Characterizati..:

, In: Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses,

Sáez-de-Cámara, Xabier ; Flores, Jose Luis ; Arellano, Cristóbal.. - p. 346-365 , 2023

Link: https://dl.acm.org/doi/1..

9

Multi-objective evolutionary optimization for dimensionalit..:

Vélez de Mendizabal, Iñaki ; Basto-Fernandes, Vitor ; Ezpeleta, Enaitz...
PeerJ Computer Science. 9 (2023) - p. e1240 , 2023

Link: https://doi.org/10.7717/..

10

Low delay network attributes randomization to proactively m..:

Etxezarreta, Xabier ; Garitano, Iñaki ; Iturbe, Mikel.
Wireless Networks. , 2023

Link: https://doi.org/10.1007/..

11

Software-Defined Networking approaches for intrusion respon..:

Etxezarreta, Xabier ; Garitano, Iñaki ; Iturbe, Mikel.
International Journal of Critical Infrastructure Protection. 42 (2023) - p. 100615 , 2023

Link: https://doi.org/10.1016/..

12

A practical and synchronized data acquisition network archi..:

Izagirre, Unai ; Andonegui, Imanol ; Landa-Torres, Itziar.
Robotics and Computer-Integrated Manufacturing. 74 (2022) - p. 102287 , 2022

Link: https://doi.org/10.1016/..

13

Methodology for data-driven predictive maintenance models d..:

Serradilla, Oscar ; Zugasti, Ekhi ; Ramirez de Okariz, Julian..
International Journal of Computer Integrated Manufacturing. 35 (2022) 12 - p. 1310-1334 , 2022

Link: https://doi.org/10.1080/..

14

Success Stories on Real Pilots:

, In: The MANTIS Book,

Socorro, Rafael ; Aguirregabiria, María ; Akçay, Alp... - p. 311-496 , 2022

Link: https://doi.org/10.1201/..

15

Deep learning models for predictive maintenance: a survey, ..:

Serradilla, Oscar ; Zugasti, Ekhi ; Rodriguez, Jon.
Applied Intelligence. 52 (2022) 10 - p. 10934-10964 , 2022

Link: https://doi.org/10.1007/..