Gérôme Bovet

Orcid: 0000-0002-4534-3483

According to our database1, Gérôme Bovet authored at least 91 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2024
Channel and Hardware Impairment Data Augmentation for Robust Modulation Classification.
IEEE Trans. Cogn. Commun. Netw., August, 2024

Analyzing the robustness of decentralized horizontal and vertical federated learning architectures in a non-IID scenario.
Appl. Intell., April, 2024

FederatedTrust: A solution for trustworthy federated learning.
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

SkyPos: Real-World Evaluation of Self-Positioning With Aircraft Signals for IoT Devices.
IEEE J. Sel. Areas Commun., January, 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

A Big Data architecture for early identification and categorization of dark web sites.
Future Gener. Comput. Syst., 2024

Fedstellar: A Platform for Decentralized Federated Learning.
Expert Syst. Appl., 2024

Corrigendum to "Fedstellar: A platform for decentralized federated learning" [Expert Syst. Appl. 242 (2024) 122861].
Expert Syst. Appl., 2024

FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learning.
CoRR, 2024

De-VertiFL: A Solution for Decentralized Vertical Federated Learning.
CoRR, 2024

Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data.
CoRR, 2024

Do Large Language Models Exhibit Cognitive Dissonance? Studying the Difference Between Revealed Beliefs and Stated Answers.
CoRR, 2024

Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls.
CoRR, 2024

Asset-driven Threat Modeling for AI-based Systems.
CoRR, 2024

GuardFS: a File System for Integrated Detection and Mitigation of Linux-based Ransomware.
CoRR, 2024

Robust Federated Learning for execution time-based device model identification under label-flipping attack.
Clust. Comput., 2024

DART: A Solution for decentralized federated learning model robustness analysis.
Array, 2024

Cleaning Semi-Structured Errors in Open Data Using Large Language Models.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

SecBox: a Lightweight Data Mining Platform for Dynamic and Reproducible Malware Analysis.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

Voyager: MTD-Based Aggregation Protocol for Mitigating Poisoning Attacks on DFL.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

ORAN-Sense: Localizing Non-cooperative Transmitters with Spectrum Sensing and 5G O-RAN.
Proceedings of the IEEE INFOCOM 2024, 2024

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Asset-Centric Threat Modeling for AI-Based Systems.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

FEVER: Intelligent Behavioral Fingerprinting for Anomaly Detection in P4-Based Programmable Networks.
Proceedings of the Advanced Information Networking and Applications, 2024

2023
Behavioral fingerprinting to detect ransomware in resource-constrained devices.
Comput. Secur., December, 2023

Adaptive Uplink Data Compression in Spectrum Crowdsensing Systems.
IEEE/ACM Trans. Netw., October, 2023

LwHBench: A low-level hardware component benchmark and dataset for Single Board Computers.
Internet Things, July, 2023

Intelligent and behavioral-based detection of malware in IoT spectrum sensors.
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

Assessing the Sustainability and Trustworthiness of Federated Learning Models.
CoRR, 2023

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning.
CoRR, 2023

CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation.
CoRR, 2023

Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense.
CoRR, 2023

MTFS: a Moving Target Defense-Enabled File System for Malware Mitigation.
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

Early Detection of Cryptojacker Malicious Behaviors on IoT Crowdsensing Devices.
Proceedings of the NOMS 2023, 2023

SecBox: A Lightweight Container-based Sandbox for Dynamic Malware Analysis.
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

A Framework for Wireless Technology Classification using Crowdsensing Platforms.
Proceedings of the IEEE INFOCOM 2023, 2023

Contrastive learning with self-reconstruction for channel-resilient modulation classification.
Proceedings of the IEEE INFOCOM 2023, 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

Maximum Likelihood Distillation for Robust Modulation Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

RansomAI: AI-Powered Ransomware for Stealthy Encryption.
Proceedings of the IEEE Global Communications Conference, 2023

Moving Target Defense Strategy Selection against Malware in Resource-Constrained Devices.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 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

Evolutionary Optimization of Residual Neural Network Architectures for Modulation Classification.
IEEE Trans. Cogn. Commun. Netw., 2022

Measuring 5G Electric Fields Strength With Software Defined Radios.
IEEE Open J. Commun. Soc., 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

Federated learning for malware detection in IoT devices.
Comput. Networks, 2022

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

Intelligent Fingerprinting to Detect Data Leakage Attacks on Spectrum Sensors.
Proceedings of the IEEE International Conference on Communications, 2022

SafeAMC: Adversarial training for robust modulation classification models.
Proceedings of the 30th European Signal Processing Conference, 2022

RITUAL: a Platform Quantifying the Trustworthiness of Supervised Machine Learning.
Proceedings of the 18th International Conference on Network and Service Management, 2022

2021
5G System Security Analysis.
CoRR, 2021

Can Evil IoT Twins Be Identified? Now Yes, a Hardware Behavioral Fingerprinting Methodology.
CoRR, 2021

SafeAMC: Adversarial training for robust modulation recognition models.
CoRR, 2021

Federated Learning for Malware Detection in IoT Devices.
CoRR, 2021

On the benefits of robust models in modulation recognition.
CoRR, 2021

A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets.
IEEE Commun. Surv. Tutorials, 2021

Learning the unknown: Improving modulation classification performance in unseen scenarios.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Short: LSTM-based GNSS Spoofing Detection Using Low-cost Spectrum Sensors.
Proceedings of the 21st IEEE International Symposium on "A World of Wireless, 2020

SkySense: terrestrial and aerial spectrum use analysed using lightweight sensing technology with weather balloons.
Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

2019
Higher than a kite: ADS-B communication analysis using a high-altitude balloon.
Proceedings of the 7th OpenSky Workshop 2019, Zurich, Switzerland, November 21-22, 2019., 2019

Performance Profiling of Radio Models and Anglova Based Scenarios.
Proceedings of the International Conference on Military Communications and Information Systems, 2019

2018
Reproducing Measured MANET Radio Performances Using the EMANE Framework.
IEEE Commun. Mag., 2018

Reinforcement Learning for Quality of Experience Optimization in Tactical Networks.
Proceedings of the 2018 IEEE Military Communications Conference, 2018

TAKE - Tactical ad-hoc network emulation.
Proceedings of the International Conference on Military Communications and Information Systems, 2018

2015
A Scalable and Sustainable Web of Buildings Architecture. (Architecture Évolutive et Efficiente du Web des Bâtiments).
PhD thesis, 2015

Machine learning with the internet of virtual things.
Proceedings of the International Conference on Protocol Engineering, 2015

2014
Toward Web Enhanced Building Automation Systems.
Proceedings of the Big Data and Internet of Things: A Roadmap for Smart Environments, 2014

A distributed web-based naming system for smart buildings.
Proceedings of the Proceeding of IEEE International Symposium on a World of Wireless, 2014

Virtual Things for Machine Learning Applications.
Proceedings of the 5th International Workshop on Web of Things, 2014

A Scalable Cloud Storage for Sensor Networks.
Proceedings of the 5th International Workshop on Web of Things, 2014

Distributed Semantic Discovery for Web-of-Things Enabled Smart Buildings.
Proceedings of the 6th International Conference on New Technologies, Mobility and Security, 2014

Will Web Technologies Impact on Building Automation Systems Architecture?
Proceedings of the 5th International Conference on Ambient Systems, 2014

2013
An Energy Efficient Layer for Event-Based Communications in Web-of-Things Frameworks.
Proceedings of the Multimedia and Ubiquitous Engineering, 2013

Introducing the Web-of-Things in Building Automation - A Gateway for KNX Installations.
Proceedings of the ICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Reykjavík, Iceland, 29, 2013

Offering web-of-things connectivity to building networks.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Energy-Efficient Optimization Layer for Event-Based Communications on Wi-Fi Things.
Proceedings of the 4th International Conference on Ambient Systems, 2013


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