RT journal article
T1 SEADETEC: Advanced Service for Early Detection of Cybersecurity Events
A1 Domínguez Jiménez, Juan José
A1 Sánchez, G.
A1 Medina Bulo, María Inmaculada
A1 Boubeta Puig, Juan
A1 Rodríguez García, María Mercedes
A1 Muñoz-Ortega, A.
A1 Balderas Díaz, Sara
A1 Guerrero Contreras, Gabriel José
A1 Silva Ramírez, Esther Lydia
A1 Rosa Bilbao, Jesús
A1 Luna-Ramos, P.
A1 Henares, C. J. J.
A1 Cabrera, M. A. J.
A1 Landi, F. G.
A1 Gómez, T. P.
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
A2 Ingeniería Informática
K1 Industry 4.0
K1 cybersecurity
K1 intrusion detection systems
K1 complex event processing
K1 machine learning
AB The transition towards Industry 4.0 has intensified interconnectivity by incorporating advanced technologies in industrial networks,servers, and the cloud. As a result, these systems are exposed to critical security challenges, such as unauthorized access to sensitivedata and sabotage. In this scenario, current systems, including intrusion detection systems and security information and eventmanagement systems, face limitations in detecting new threats and in their compatibility with architectures other than x64/x86. Toaddress these challenges, complex event processing (CEP) emerges as an effective solution, enabling early and real-time detectionof cyberattacks in operational technology (OT) and Internet of Things (IoT) environments, adapting to the resource constraints ofthese devices. This study presents the design of an architecture aimed at OT and IoT, implementing CEP on ARM devices toenhance early detection of cyberattacks. The proposed system captures network traffic and processes it through a CEP engine toautomatically identify anomalous patterns. Additionally, the system incorporates machine learning to detect new anomalies in realtime, improving both security and operational efficiency. The validation of the system will be demonstrated in a real environmentby integrating it into MINERVA navigation and bridge system from Navantia S.M.E., illustrating its practical applicability incritical infrastructures.
PB Elsevier
SN 1877-0509
YR 2025
FD 2025
LK http://hdl.handle.net/10498/38744
UL http://hdl.handle.net/10498/38744
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026