Publicaciones en las que colabora con Alberto Huertas Celdran (53)

2024

  1. Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges

    Information Fusion, Vol. 105

2023

  1. An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios

    IET Information Security, Vol. 17, Núm. 4, pp. 553-566

  2. SUSAN: A Deep Learning based anomaly detection framework for sustainable industry

    Sustainable Computing: Informatics and Systems, Vol. 37

  3. VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios

    Journal of Information Security and Applications, Vol. 79

2022

  1. A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios

    IEEE Access, Vol. 10, pp. 124582-124594

  2. Malware Detection in Industrial Scenarios Using Machine Learning and Deep Learning Techniques

    Advances in Malware and Data-Driven Network Security, pp. 74-93

2021

  1. A Review of MADICS: A Methodology for Anomaly Detection in Industrial Control Systems

    Investigación en Ciberseguridad

  2. AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning

    Computers and Security, Vol. 103

  3. Crafting adversarial samples for anomaly detectors in industrial control systems

    Procedia Computer Science

  4. Mitigation of cyber threats: Protection mechanisms in federated SDN/NFV infrastructures for 5G within FIRE+

    Concurrency and Computation: Practice and Experience

  5. SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry

    Software - Practice and Experience

2020

  1. A scalable architecture for the dynamic deployment of multimodal learning analytics applications in smart classrooms

    Sensors (Switzerland), Vol. 20, Núm. 10

  2. Anomaly Detection on Encrypted and High-Performance Data Networks by Means of Machine Learning Techniques

    Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS), pp. 167-190

  3. BEHACOM - a dataset modelling users’ behaviour in computers

    Data in Brief

  4. Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling

    IEEE Access, Vol. 8, pp. 152204-152222

  5. MADICS: A methodology for anomaly detection in industrial control systems

    Symmetry, Vol. 12, Núm. 10

  6. PROTECTOR: Towards the protection of sensitive data in Europe and the US

    Computer Networks, Vol. 181

  7. Review and Open Challenges of Public Safety Networks to Manage Emergency Settings in 5G

    17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2020

  8. Self-Organized Laboratories for Smart Campus

    IEEE Transactions on Learning Technologies, Vol. 13, Núm. 2, pp. 404-416

  9. Toward the Detection and Mitigation of Ransomware Attacks in Medical Cyber-Physical Systems (MCPSs)

    Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS), pp. 91-116