Zerrendatu Ikerketa-Artikuluak honen arabera: egilea "Flores, José Luis"
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Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks
Zurutuza, Urko (Elsevier, 2023)There is a growing trend of cyberattacks against Internet of Things (IoT) devices; moreover, the sophistication and motivation of those attacks is increasing. The vast scale of IoT, diverse hardware and software, and being ... -
Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation
Sáez-de-Cámara, Xabier; Zurutuza, Urko (IEEE, 2023)The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising results for intrusion detection; however, the ... -
Improving fuzzing assessment methods through the analysis of metrics and experimental conditions
Iturbe, Mikel (Elsevier, 2023)Fuzzing is nowadays one of the most widely used bug hunting techniques. By automatically generating malformed inputs, fuzzing aims to trigger unwanted behavior on its target. While fuzzing research has matured considerably ... -
A Novel Model for Vulnerability Analysis through Enhanced Directed Graphs and Quantitative Metrics
Garitano, Iñaki (MDPI, 2022)The rapid evolution of industrial components, the paradigm of Industry 4.0, and the new connectivity features introduced by 5G technology all increase the likelihood of cybersecurity incidents. Such incidents are caused ...