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2020 – today
- 2024
- [j27]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Enrique Tomás Martínez Pérez, Daniel Demeter, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Analyzing the robustness of decentralized horizontal and vertical federated learning architectures in a non-IID scenario. Appl. Intell. 54(8): 6637-6653 (2024) - [j26]Chao Feng, Alberto Huertas Celdrán, Jan von der Assen, Enrique Tomás Martínez Beltrán, Gérôme Bovet, Burkhard Stiller:
DART: A Solution for decentralized federated learning model robustness analysis. Array 23: 100360 (2024) - [j25]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, José Rafael Buendía Rubio, Gérôme Bovet, Gregorio Martínez Pérez:
Robust Federated Learning for execution time-based device model identification under label-flipping attack. Clust. Comput. 27(1): 313-324 (2024) - [j24]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez:
Single-board device individual authentication based on hardware performance and autoencoder transformer models. Comput. Secur. 137: 103596 (2024) - [j23]Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
Fedstellar: A Platform for Decentralized Federated Learning. Expert Syst. Appl. 242: 122861 (2024) - [j22]Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Pedro Guijas Bravo, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
Corrigendum to "Fedstellar: A platform for decentralized federated learning" [Expert Syst. Appl. 242 (2024) 122861]. Expert Syst. Appl. 251: 124165 (2024) - [j21]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez:
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification. Future Gener. Comput. Syst. 152: 30-42 (2024) - [j20]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Ning Xie, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
FederatedTrust: A solution for trustworthy federated learning. Future Gener. Comput. Syst. 152: 83-98 (2024) - [j19]Javier Pastor-Galindo, Hông-Ân Sandlin, Félix Gómez Mármol, Gérôme Bovet, Gregorio Martínez Pérez:
A Big Data architecture for early identification and categorization of dark web sites. Future Gener. Comput. Syst. 157: 67-81 (2024) - [j18]Yago Lizarribar, Domenico Giustiniano, Gérôme Bovet, Vincent Lenders:
SkyPos: Real-World Evaluation of Self-Positioning With Aircraft Signals for IoT Devices. IEEE J. Sel. Areas Commun. 42(1): 134-145 (2024) - [j17]Erma Perenda, Gérôme Bovet, Mariya Zheleva, Sofie Pollin:
Channel and Hardware Impairment Data Augmentation for Robust Modulation Classification. IEEE Trans. Cogn. Commun. Netw. 10(4): 1263-1279 (2024) - [j16]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
CyberSpec: Behavioral Fingerprinting for Intelligent Attacks Detection on Crowdsensing Spectrum Sensors. IEEE Trans. Dependable Secur. Comput. 21(1): 284-297 (2024) - [j15]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Timo Schenk, Adrian Lars Benjamin Iten, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors. IEEE Trans. Dependable Secur. Comput. 21(2): 573-584 (2024) - [j14]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jan von der Assen, Timo Schenk, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-Day Attacks in IoT. IEEE Trans. Inf. Forensics Secur. 19: 5520-5529 (2024) - [c40]Matheus Saueressig, Muriel Figueredo Franco, Eder J. Scheid, Alberto Huertas Celdrán, Gérôme Bovet, Burkhard Stiller, Lisandro Z. Granville:
FEVER: Intelligent Behavioral Fingerprinting for Anomaly Detection in P4-Based Programmable Networks. AINA (3) 2024: 362-373 - [c39]Jan von der Assen, Jamo Sharif, Chao Feng, Christian Killer, Gérôme Bovet, Burkhard Stiller:
Asset-Centric Threat Modeling for AI-Based Systems. CSR 2024: 437-444 - [c38]Chao Feng, Alberto Huertas Celdrán, Janosch Baltensperger, Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Burkhard Stiller:
Sentinel: An Aggregation Function to Secure Decentralized Federated Learning. ECAI 2024: 1760-1767 - [c37]Yago Lizarribar, Roberto Calvo-Palomino, Alessio Scalingi, Giuseppe Santaromita, Gérôme Bovet, Domenico Giustiniano:
ORAN-Sense: Localizing Non-cooperative Transmitters with Spectrum Sensing and 5G O-RAN. INFOCOM 2024: 1870-1879 - [c36]Chao Feng, Alberto Huertas Celdrán, Michael Vuong, Gérôme Bovet, Burkhard Stiller:
Voyager: MTD-Based Aggregation Protocol for Mitigating Poisoning Attacks on DFL. NOMS 2024: 1-9 - [c35]Chao Feng, Jan von der Assen, Alberto Huertas Celdrán, Raffael Mogicato, Adrian Zermin, Vichhay Ok, Gérôme Bovet, Burkhard Stiller:
SecBox: a Lightweight Data Mining Platform for Dynamic and Reproducible Malware Analysis. SDS 2024: 62-67 - [c34]Manuel Mondal, Julien Audiffren, Ljiljana Dolamic, Gérôme Bovet, Philippe Cudré-Mauroux:
Cleaning Semi-Structured Errors in Open Data Using Large Language Models. SDS 2024: 258-261 - [i33]Javier Pastor-Galindo, Hông-Ân Sandlin, Félix Gómez Mármol, Gérôme Bovet, Gregorio Martínez Pérez:
A Big Data Architecture for Early Identification and Categorization of Dark Web Sites. CoRR abs/2401.13320 (2024) - [i32]Jan von der Assen, Chao Feng, Alberto Huertas Celdrán, Róbert Oles, Gérôme Bovet, Burkhard Stiller:
GuardFS: a File System for Integrated Detection and Mitigation of Linux-based Ransomware. CoRR abs/2401.17917 (2024) - [i31]Jan von der Assen, Jamo Sharif, Chao Feng, Gérôme Bovet, Burkhard Stiller:
Asset-driven Threat Modeling for AI-based Systems. CoRR abs/2403.06512 (2024) - [i30]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez:
Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls. CoRR abs/2405.09318 (2024) - [i29]Manuel Mondal, Ljiljana Dolamic, Gérôme Bovet, Philippe Cudré-Mauroux:
Do Large Language Models Exhibit Cognitive Dissonance? Studying the Difference Between Revealed Beliefs and Stated Answers. CoRR abs/2406.14986 (2024) - [i28]Chao Feng, Alberto Huertas Celdrán, Jan von der Assen, Enrique Tomás Martínez Beltrán, Gérôme Bovet, Burkhard Stiller:
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis. CoRR abs/2407.08652 (2024) - [i27]Chao Feng, Alberto Huertas Celdrán, Zien Zeng, Zi Ye, Jan von der Assen, Gérôme Bovet, Burkhard Stiller:
Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data. CoRR abs/2409.19302 (2024) - 2023
- [j13]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jan von der Assen, Dennis Shushack, Ángel Luis Perales Gómez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Behavioral fingerprinting to detect ransomware in resource-constrained devices. Comput. Secur. 135: 103510 (2023) - [j12]Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges. IEEE Commun. Surv. Tutorials 25(4): 2983-3013 (2023) - [j11]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Miguel Azorín Castillo, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Intelligent and behavioral-based detection of malware in IoT spectrum sensors. Int. J. Inf. Sec. 22(3): 541-561 (2023) - [j10]Pedro Miguel Sánchez Sánchez, José María Jorquera Valero, Alberto Huertas Celdrán, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez:
LwHBench: A low-level hardware component benchmark and dataset for Single Board Computers. Internet Things 22: 100764 (2023) - [j9]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Chao Feng, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Privacy-Preserving and Syscall-Based Intrusion Detection System for IoT Spectrum Sensors Affected by Data Falsification Attacks. IEEE Internet Things J. 10(10): 8408-8415 (2023) - [j8]Pedro Miguel Sánchez Sánchez, José María Jorquera Valero, Alberto Huertas Celdrán, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez:
A methodology to identify identical single-board computers based on hardware behavior fingerprinting. J. Netw. Comput. Appl. 212: 103579 (2023) - [j7]Yijing Zeng, Roberto Calvo-Palomino, Domenico Giustiniano, Gérôme Bovet, Suman Banerjee:
Adaptive Uplink Data Compression in Spectrum Crowdsensing Systems. IEEE/ACM Trans. Netw. 31(5): 2207-2221 (2023) - [c33]Alberto Huertas Celdrán, Jan Kreischer, Melike Demirci, Joel Leupp, Pedro Miguel Sánchez Sánchez, Muriel Figueredo Franco, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
A Framework Quantifying Trustworthiness of Supervised Machine and Deep Learning Models. SafeAI@AAAI 2023 - [c32]Jan von der Assen, Alberto Huertas Celdrán, Nicolas Huber, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Moving Target Defense Strategy Selection against Malware in Resource-Constrained Devices. CSR 2023: 123-129 - [c31]Jan von der Assen, Alberto Huertas Celdrán, Janik Luechinger, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
RansomAI: AI-Powered Ransomware for Stealthy Encryption. GLOBECOM 2023: 2578-2583 - [c30]Javier Maroto, Gérôme Bovet, Pascal Frossard:
Maximum Likelihood Distillation for Robust Modulation Classification. ICASSP 2023: 1-5 - [c29]Jan von der Assen, Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jordan Cedeño, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
A Lightweight Moving Target Defense Framework for Multi-purpose Malware Affecting IoT Devices. ICC 2023: 6010-6015 - [c28]Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion. IJCAI 2023: 7154-7157 - [c27]Erma Perenda, Sreeraj Rajendran, Gérôme Bovet, Mariya Zheleva, Sofie Pollin:
Contrastive learning with self-reconstruction for channel-resilient modulation classification. INFOCOM 2023: 1-10 - [c26]Alessio Scalingi, Domenico Giustiniano, Roberto Calvo-Palomino, Nikolaos Apostolakis, Gérôme Bovet:
A Framework for Wireless Technology Classification using Crowdsensing Platforms. INFOCOM 2023: 1-10 - [c25]Pedro Miguel Sánchez Sánchez, Enrique Tomás Martínez Beltrán, Alberto Huertas Celdrán, Robin Wassink, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Stealth Spectrum Sensing Data Falsification Attacks Affecting IoT Spectrum Monitors on the Battlefield. MILCOM 2023: 673-678 - [c24]Jan von der Assen, Alberto Huertas Celdrán, Adrian Zermin, Raffael Mogicato, Gérôme Bovet, Burkhard Stiller:
SecBox: A Lightweight Container-based Sandbox for Dynamic Malware Analysis. NOMS 2023: 1-3 - [c23]Alberto Huertas Celdrán, Jan von der Assen, Konstantin Moser, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Early Detection of Cryptojacker Malicious Behaviors on IoT Crowdsensing Devices. NOMS 2023: 1-8 - [i26]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Ning Xie, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
FederatedTrust: A Solution for Trustworthy Federated Learning. CoRR abs/2302.09844 (2023) - [i25]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez:
Single-board Device Individual Authentication based on Hardware Performance and Anomaly Detection for Crowdsensing Platforms. CoRR abs/2306.08495 (2023) - [i24]Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
Fedstellar: A Platform for Decentralized Federated Learning. CoRR abs/2306.09750 (2023) - [i23]Jan von der Assen, Alberto Huertas Celdrán, Janik Luechinger, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
RansomAI: AI-powered Ransomware for Stealthy Encryption. CoRR abs/2306.15559 (2023) - [i22]Jan von der Assen, Alberto Huertas Celdrán, Rinor Sefa, Gérôme Bovet, Burkhard Stiller:
MTFS: a Moving Target Defense-Enabled File System for Malware Mitigation. CoRR abs/2306.15566 (2023) - [i21]Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense. CoRR abs/2307.11730 (2023) - [i20]Chao Feng, Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jan Kreischer, Jan von der Assen, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation. CoRR abs/2308.05978 (2023) - [i19]Chao Feng, Alberto Huertas Celdrán, Janosch Baltensperger, Enrique Tomás Martínez Beltrán, Gérôme Bovet, Burkhard Stiller:
Sentinel: An Aggregation Function to Secure Decentralized Federated Learning. CoRR abs/2310.08097 (2023) - [i18]Chao Feng, Alberto Huertas Celdrán, Michael Vuong, Gérôme Bovet, Burkhard Stiller:
Voyager: MTD-Based Aggregation Protocol for Mitigating Poisoning Attacks on DFL. CoRR abs/2310.08739 (2023) - [i17]Alberto Huertas Celdrán, Chao Feng, Pedro Miguel Sánchez Sánchez, Lynn Zumtaugwald, Gérôme Bovet, Burkhard Stiller:
Assessing the Sustainability and Trustworthiness of Federated Learning Models. CoRR abs/2310.20435 (2023) - 2022
- [j6]Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Félix J. García Clemente, Javier Alejandro Maroto Morales, Alberto Huertas Celdrán, Gérôme Bovet:
A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios. IEEE Access 10: 124582-124594 (2022) - [j5]Valerian Rey, Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet:
Federated learning for malware detection in IoT devices. Comput. Networks 204: 108693 (2022) - [j4]Franco Minucci, Dieter Verbruggen, Hazem Sallouah, Vladimir Volski, Guy A. E. Vandenbosch, Gérôme Bovet, Sofie Pollin:
Measuring 5G Electric Fields Strength With Software Defined Radios. IEEE Open J. Commun. Soc. 3: 2258-2271 (2022) - [j3]Erma Perenda, Sreeraj Rajendran, Gérôme Bovet, Sofie Pollin, Mariya Zheleva:
Evolutionary Optimization of Residual Neural Network Architectures for Modulation Classification. IEEE Trans. Cogn. Commun. Netw. 8(2): 542-556 (2022) - [c22]Alberto Huertas Celdrán, Jan Bauer, Melike Demirci, Joel Leupp, Muriel Figueredo Franco, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
RITUAL: a Platform Quantifying the Trustworthiness of Supervised Machine Learning. CNSM 2022: 364-366 - [c21]Javier Maroto, Gérôme Bovet, Pascal Frossard:
SafeAMC: Adversarial training for robust modulation classification models. EUSIPCO 2022: 1636-1640 - [c20]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Intelligent Fingerprinting to Detect Data Leakage Attacks on Spectrum Sensors. ICC 2022: 4080-4085 - [c19]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Eder J. Scheid, Timucin Besken, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Policy-based and Behavioral Framework to Detect Ransomware Affecting Resource-constrained Sensors. NOMS 2022: 1-7 - [p2]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Fabio Sisi, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Creation of a Dataset Modeling the Behavior of Malware Affecting the Confidentiality of Data Managed by IoT Devices. Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities 2022: 193-225 - [d2]Pedro Miguel Sánchez Sánchez, José María Jorquera Valero, Alberto Huertas Celdrán, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez:
LWHBench Dataset. IEEE DataPort, 2022 - [d1]Ramon Solo de Zaldivar, Alberto Huertas Celdrán, Jan von der Assen, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
MalwSpecSys: A Dataset Containing Syscalls of an IoT Spectrum Sensor Affected by Heterogeneous Malware. IEEE DataPort, 2022 - [i16]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
CyberSpec: Intelligent Behavioral Fingerprinting to Detect Attacks on Crowdsensing Spectrum Sensors. CoRR abs/2201.05410 (2022) - [i15]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Timo Schenk, Adrian Lars Benjamin Iten, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors. CoRR abs/2202.00137 (2022) - [i14]Pedro Miguel Sánchez Sánchez, José María Jorquera Valero, Alberto Huertas Celdrán, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez:
LwHBench: A low-level hardware component benchmark and dataset for Single Board Computers. CoRR abs/2204.08516 (2022) - [i13]Jan von der Assen, Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jordan Cedeño, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
A Lightweight Moving Target Defense Framework for Multi-purpose Malware Affecting IoT Devices. CoRR abs/2210.07719 (2022) - [i12]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Enrique Tomás Martínez Beltrán, Daniel Demeter, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario. CoRR abs/2210.11061 (2022) - [i11]Javier Maroto, Gérôme Bovet, Pascal Frossard:
Maximum Likelihood Distillation for Robust Modulation Classification. CoRR abs/2211.00748 (2022) - [i10]Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
Decentralized Federated Learning: Fundamentals, State-of-the-art, Frameworks, Trends, and Challenges. CoRR abs/2211.08413 (2022) - [i9]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jan von der Assen, Timo Schenk, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-day Attacks in IoT. CoRR abs/2212.14647 (2022) - [i8]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez:
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification. CoRR abs/2212.14677 (2022) - 2021
- [j2]Pedro Miguel Sánchez Sánchez, José María Jorquera Valero, Alberto Huertas Celdrán, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez:
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets. IEEE Commun. Surv. Tutorials 23(2): 1048-1077 (2021) - [c18]Yijing Zeng, Roberto Calvo-Palomino, Domenico Giustiniano, Gérôme Bovet, Suman Banerjee:
Adaptive Uplink Data Compression in Spectrum Crowdsensing Systems. DySPAN 2021: 114-122 - [c17]Erma Perenda, Sreeraj Rajendran, Gérôme Bovet, Sofie Pollin, Mariya Zheleva:
Learning the unknown: Improving modulation classification performance in unseen scenarios. INFOCOM 2021: 1-10 - [i7]Javier Maroto, Gérôme Bovet, Pascal Frossard:
On the benefits of robust models in modulation recognition. CoRR abs/2103.14977 (2021) - [i6]Valerian Rey, Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Martin Jaggi:
Federated Learning for Malware Detection in IoT Devices. CoRR abs/2104.09994 (2021) - [i5]Javier Maroto, Gérôme Bovet, Pascal Frossard:
SafeAMC: Adversarial training for robust modulation recognition models. CoRR abs/2105.13746 (2021) - [i4]Pedro Miguel Sánchez Sánchez, José María Jorquera Valero, Alberto Huertas Celdrán, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez:
Can Evil IoT Twins Be Identified? Now Yes, a Hardware Behavioral Fingerprinting Methodology. CoRR abs/2106.08209 (2021) - [i3]Gerrit Holtrup, William Lacube, Dimitri Percia David, Alain Mermoud, Gérôme Bovet, Vincent Lenders:
5G System Security Analysis. CoRR abs/2108.08700 (2021) - [i2]Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, José Rafael Buendía Rubio, Gérôme Bovet, Gregorio Martínez Pérez:
Robust Federated Learning for execution time-based device model identification under label-flipping attack. CoRR abs/2111.14434 (2021) - 2020
- [c16]Brecht Reynders, Franco Minucci, Erma Perenda, Hazem Sallouha, Roberto Calvo-Palomino, Yago Lizarribar, Markus Fuchs, Matthias Schäfer, Markus Engel, Bertold Van den Bergh, Sofie Pollin, Domenico Giustiniano, Gérôme Bovet, Vincent Lenders:
SkySense: terrestrial and aerial spectrum use analysed using lightweight sensing technology with weather balloons. MobiSys 2020: 352-363 - [c15]Roberto Calvo-Palomino, Arani Bhattacharya, Gérôme Bovet, Domenico Giustiniano:
Short: LSTM-based GNSS Spoofing Detection Using Low-cost Spectrum Sensors. WoWMoM 2020: 273-276 - [i1]Pedro Miguel Sánchez Sánchez, José María Jorquera Valero, Alberto Huertas Celdrán, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez:
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets. CoRR abs/2008.03343 (2020)
2010 – 2019
- 2019
- [c14]Jean-Frédéric Wagen, Victor Adalid, Gilles Waeber, François Buntschu, Gérôme Bovet:
Performance Profiling of Radio Models and Anglova Based Scenarios. ICMCIS 2019: 1-5 - [c13]Matthias Schäfer, Roberto Calvo-Palomino, Franco Minucci, Brecht Reynders, Gérôme Bovet, Vincent Lenders:
Higher than a kite: ADS-B communication analysis using a high-altitude balloon. OpenSky 2019: 117-128 - 2018
- [j1]Alexandre Nikodemski, Jean-Frédéric Wagen, François Buntschu, Christophe Gisler, Gérôme Bovet:
Reproducing Measured MANET Radio Performances Using the EMANE Framework. IEEE Commun. Mag. 56(10): 151-155 (2018) - [c12]Simon Ruffieux, Christophe Gisler, Jean-Frédéric Wagen, François Buntschu, Gérôme Bovet:
TAKE - Tactical ad-hoc network emulation. ICMCIS 2018: 1-8 - [c11]Gérôme Bovet, Kevin S. Chan:
Reinforcement Learning for Quality of Experience Optimization in Tactical Networks. MILCOM 2018: 1-6 - 2015
- [b1]Gérôme Bovet:
A Scalable and Sustainable Web of Buildings Architecture. (Architecture Évolutive et Efficiente du Web des Bâtiments). Télécom ParisTech, France, 2015 - [c10]Gérôme Bovet, Antonio Ridi, Jean Hennebert:
Machine learning with the internet of virtual things. CFIP/NOTERE 2015: 1-8 - 2014
- [c9]Gérôme Bovet, Jean Hennebert:
Will Web Technologies Impact on Building Automation Systems Architecture? ANT/SEIT 2014: 985-990 - [c8]Gérôme Bovet, Jean Hennebert:
Distributed Semantic Discovery for Web-of-Things Enabled Smart Buildings. NTMS 2014: 1-5 - [c7]Gérôme Bovet, Antonio Ridi, Jean Hennebert:
Virtual Things for Machine Learning Applications. WoT 2014: 4-9 - [c6]Gérôme Bovet, Gautier Briard, Jean Hennebert:
A Scalable Cloud Storage for Sensor Networks. WoT 2014: 22-27 - [c5]Gérôme Bovet, Jean Hennebert:
A distributed web-based naming system for smart buildings. WoWMoM 2014: 1-6 - [p1]Gérôme Bovet, Antonio Ridi, Jean Hennebert:
Toward Web Enhanced Building Automation Systems. Big Data and Internet of Things 2014: 259-283 - 2013
- [c4]Gérôme Bovet, Jean Hennebert:
Energy-Efficient Optimization Layer for Event-Based Communications on Wi-Fi Things. ANT/SEIT 2013: 256-264 - [c3]Gérôme Bovet, Jean Hennebert:
Offering web-of-things connectivity to building networks. UbiComp (Adjunct Publication) 2013: 1555-1564 - [c2]Gérôme Bovet, Jean Hennebert:
Introducing the Web-of-Things in Building Automation - A Gateway for KNX Installations. ICINCO (1) 2013: 99-106 - [c1]Gérôme Bovet, Jean Hennebert:
An Energy Efficient Layer for Event-Based Communications in Web-of-Things Frameworks. MUE 2013: 93-101
Coauthor Index
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