Alberto Huertas Celdran-rekin lankidetzan egindako argitalpenak (54)
2024
2023
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An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios
IET Information Security, Vol. 17, Núm. 4, pp. 553-566
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SUSAN: A Deep Learning based anomaly detection framework for sustainable industry
Sustainable Computing: Informatics and Systems, Vol. 37
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VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios
Journal of Information Security and Applications, Vol. 79
2022
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A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios
IEEE Access, Vol. 10, pp. 124582-124594
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Malware Detection in Industrial Scenarios Using Machine Learning and Deep Learning Techniques
Advances in Malware and Data-Driven Network Security, pp. 74-93
2021
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A Review of MADICS: A Methodology for Anomaly Detection in Industrial Control Systems
Investigación en Ciberseguridad
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AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning
Computers and Security, Vol. 103
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Crafting adversarial samples for anomaly detectors in industrial control systems
Procedia Computer Science
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Mitigation of cyber threats: Protection mechanisms in federated SDN/NFV infrastructures for 5G within FIRE+
Concurrency and Computation: Practice and Experience
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SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry
Software - Practice and Experience
2020
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A scalable architecture for the dynamic deployment of multimodal learning analytics applications in smart classrooms
Sensors (Switzerland), Vol. 20, Núm. 10
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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
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BEHACOM - a dataset modelling users’ behaviour in computers
Data in Brief
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Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling
IEEE Access, Vol. 8, pp. 152204-152222
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MADICS: A methodology for anomaly detection in industrial control systems
Symmetry, Vol. 12, Núm. 10
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PROTECTOR: Towards the protection of sensitive data in Europe and the US
Computer Networks, Vol. 181
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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
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Self-Organized Laboratories for Smart Campus
IEEE Transactions on Learning Technologies, Vol. 13, Núm. 2, pp. 404-416
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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