Pedro Merino Laso

corps enseignant


Post-doc at The French Maritime Academy since February 2018.

I conduct research in cybersecurity and data science as part of the Sea4M project. The topics of my research work are quite varied: risk analysis, transmission security, access control, sensor data security and graphical interfaces.

Previously, I completed my PhD in the Chair of Cyber Defence of Naval Systems based at the École Navale in Brest on the theme: “Detection of malfunctions and malicious acts based on multi-sensor data quality models”.


P. Merino Laso, D. Brosset et J. Puentes. « Monitoring approach of cyber-physical systems by quality measures ». Dans : International Conference on Sensor Systems and Software. Springer. 2016, p. 105–117.

P. Merino Laso, D. Brosset et J. Puentes. « Dataset of anomalies and malicious acts in a cyber-physical subsystem ». Dans : Data in Brief Journal 14. Elsevier. 2017, p. 186–191.

P. Merino Laso, D. Brosset et J. Puentes. « Analysis of Quality Measurements to Categorize Anomalies in Sensor Systems ». Dans : Proceedings of computing conference 2017. 2017, p. 1330–1338.

T. Becmeur, X. Boudvin, D. Brosset, B. Costé, G. Héno, Y. Kermarrec et P. Merino Laso. « Generating data sets as inputs of reference for cyber security issues and industrial control systems ». Dans : 11th International Conference on Research Challenges in Information Science (RCIS). 2017, p. 453–454.

D. Brosset, P. Merino Laso, Y. Kermarrec, B. Coste et C. Cavelier. « Cr@ck3n : a cyber alerts visualization object ». Dans : CyberSA 2017 : International Conference On Cyber Situational Awareness, Data Analytics And Assessment. Londres, United Kingdom : IEEE /, juin 2017, p. 389 –393.

J. Puentes, P. Merino Laso et D. Brosset. “The Challenge of Quality Evaluation in Fraud Detection.” Dans : Journal of data and information quality 10.2 (2018): 5-1.

P. Merino Laso, D. Brosset et et M-A. Giraud. (2018, August). Secured Architecture for Unmanned Surface Vehicle Fleets Management and Control. Dans : 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/PiCom/DataCom/CyberSciTech) (pp. 373-375). IEEE.

P. Merino Laso, D. Brosset, et M-A. Giraud. Defining Role-Based Access Control for a Secure Platform of Unmanned Surface Vehicle fleets. Dans : The IEEE 2019 Oceans Conference, Marseille, 2019. (Accepté)

P. Merino Laso, D. Brosset, et M-A. Giraud. Monitor and Control Human-Computer Interface for Unmanned Surface Vehicle Fleets. Dans : The IEEE 2019 Oceans Conference, Marseille, 2019. (Accepté)

O. Jacq, P. Merino Laso, D. Brosset, J. Simonin, Y. Kermarrec et M-A. Giraud. Maritime Cyber Situational Awareness Elaboration for Unmanned Vehicles. Dans : 1st Maritime Situational Awareness Workshop MSAW 2019.



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Titre : Docteur en informatique

Domaine de compétence :

Recherche : Cybersécurité et sciences des données

Contact :