Browsing by Author "Flores, José Luis"
Now showing items 1-7 of 7
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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 ... -
Federated Explainability for Network Anomaly Characterization
Zurutuza, Urko (ACM, 2023)Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ... -
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 ... -
IKARO: plataforma de benchmarking de algoritmos de fuzzing para sistemas embebidos
Iturbe, Mikel (Escola Politècnica Superior (EPS) de la Unversitat de Lleida (UdL), 2021)La presencia de sistemas embebidos conectados aumenta progresivamente representando un desafío el poder actualizar vulnerabilidades una vez han sido desplegados en campo. Por ello, es necesario optimizar la búsqueda de ... -
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 ... -
The MANTIS Reference Architecture
Larrinaga, Felix (River Publishers, 2018)
