Publications
Research on AI-driven threat detection, concept drift, adversarial robustness, malware classification and generative cyber deception. Impact factor and quartile from Journal Citation Reports (JCR).
By year
JCR quartile
- Q1 2
- Q2 2
Impact factor
Journal Articles
4
GenPot: a generative honeypot architecture for adaptive web and API interaction
Applied Intelligence (Springer), 56, 419, 2026.
Adversarial red teaming and imbalance correction in heterogeneous NIDS: a class-specific adaptive GAN framework
Journal of Information Security and Applications (Elsevier), 102, 104584, 2026.
Towards maintainable AI-driven network anomaly and threat detection: a comparative analysis of datasets, preprocessing techniques, and model trade-offs
Artificial Intelligence Review (Springer), 2026.
A framework for drift detection and adaptation in AI-driven anomaly and threat detection systems
International Journal of Information Security (Springer), 24, 199, 2025.
National Conferences
2
HDDAF: un framework para la detección y adaptación de drift en sistemas de detección de amenazas basados en inteligencia artificial
[HDDAF: a framework for drift detection and adaptation in AI-based threat detection systems]
XI Jornadas Nacionales de Investigación en Ciberseguridad (JNIC 2026), Universitat Politècnica de Catalunya, Barcelona, 6–8 May 2026. Proceedings, pp. 88–89, 2026.
HoneyV: laboratorio automatizado de análisis de malware basado en honeypots
[HoneyV: an automated honeypot-based malware analysis laboratory]
XIX Reunión Española sobre Criptología y Seguridad de la Información (RECSI 2026), Universidad de La Laguna, Tenerife, 17–21 Mar. 2026. Proceedings, pp. 326–331, 2026.