Pedro Miguel Sánchez Sánchez
Orcid: 0000-0002-6444-2102
According to our database1,
Pedro Miguel Sánchez Sánchez
authored at least 47 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Future Gener. Comput. Syst., March, 2024
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification.
Future Gener. Comput. Syst., March, 2024
Single-board device individual authentication based on hardware performance and autoencoder transformer models.
Comput. Secur., February, 2024
RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-Day Attacks in IoT.
IEEE Trans. Inf. Forensics Secur., 2024
Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors.
IEEE Trans. Dependable Secur. Comput., 2024
CyberSpec: Behavioral Fingerprinting for Intelligent Attacks Detection on Crowdsensing Spectrum Sensors.
IEEE Trans. Dependable Secur. Comput., 2024
Expert Syst. Appl., 2024
2023
Comput. Secur., December, 2023
Cutting-Edge Assets for Trust in 5G and Beyond: Requirements, State of the Art, Trends, and Challenges.
ACM Comput. Surv., November, 2023
Trust-as-a-Service: A reputation-enabled trust framework for 5G network resource provisioning.
Comput. Commun., November, 2023
LwHBench: A low-level hardware component benchmark and dataset for Single Board Computers.
Internet Things, July, 2023
Int. J. Inf. Sec., June, 2023
Privacy-Preserving and Syscall-Based Intrusion Detection System for IoT Spectrum Sensors Affected by Data Falsification Attacks.
IEEE Internet Things J., May, 2023
A methodology to identify identical single-board computers based on hardware behavior fingerprinting.
J. Netw. Comput. Appl., March, 2023
CoRR, 2023
CoRR, 2023
TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning.
CoRR, 2023
Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense.
CoRR, 2023
Single-board Device Individual Authentication based on Hardware Performance and Anomaly Detection for Crowdsensing Platforms.
CoRR, 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges.
IEEE Commun. Surv. Tutorials, 2023
Proceedings of the NOMS 2023, 2023
Stealth Spectrum Sensing Data Falsification Attacks Affecting IoT Spectrum Monitors on the Battlefield.
Proceedings of the IEEE Military Communications Conference, 2023
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
A Lightweight Moving Target Defense Framework for Multi-purpose Malware Affecting IoT Devices.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE Global Communications Conference, 2023
A Framework Quantifying Trustworthiness of Supervised Machine and Deep Learning Models.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
2022
MalwSpecSys: A Dataset Containing Syscalls of an IoT Spectrum Sensor Affected by Heterogeneous Malware.
Dataset, May, 2022
Creation of a Dataset Modeling the Behavior of Malware Affecting the Confidentiality of Data Managed by IoT Devices.
Proceedings of the Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, 2022
J. Netw. Syst. Manag., 2022
Comput. Stand. Interfaces, 2022
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario.
CoRR, 2022
CyberSpec: Intelligent Behavioral Fingerprinting to Detect Attacks on Crowdsensing Spectrum Sensors.
CoRR, 2022
Policy-based and Behavioral Framework to Detect Ransomware Affecting Resource-constrained Sensors.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the 18th International Conference on Network and Service Management, 2022
2021
Robust Federated Learning for execution time-based device model identification under label-flipping attack.
CoRR, 2021
Can Evil IoT Twins Be Identified? Now Yes, a Hardware Behavioral Fingerprinting Methodology.
CoRR, 2021
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets.
IEEE Commun. Surv. Tutorials, 2021
AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning.
Comput. Secur., 2021
2020
2019
Securing Smart Offices Through an Intelligent and Multi-device Continuous Authentication System.
Proceedings of the Smart City and Informatization - 7th International Conference, 2019
2018
Improving the Security and QoE in Mobile Devices through an Intelligent and Adaptive Continuous Authentication System.
Sensors, 2018