A Survey on Device Behavior Fingerprinting: Data Sources, Techniques,
Application Scenarios, and Datasets

A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets

7 August 2020

Pedro Miguel Sánchez Sánchez

José María Jorquera Valero

Alberto Huertas Celdrán

Gregorio Martínez Pérez

Papers citing "A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets"

16 / 16 papers shown

Title
Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Bo Gao Tianliu He Wen Wang 51 0 0 24 Feb 2025
A Factored MDP Approach To Moving Target Defense With Dynamic Threat Modeling and Cost Efficiency Megha Bose P. Paruchuri Akshat Kumar AAML 16 0 0 16 Aug 2024
usfAD Based Effective Unknown Attack Detection Focused IDS Framework Md. Ashraf Uddin Sunil Aryal Mohamed Reda Bouadjenek Muna Al-Hawawreh Md. Alamin Talukder AAML 16 5 0 17 Mar 2024
WannaLaugh: A Configurable Ransomware Emulator -- Learning to Mimic Malicious Storage Traces Dionysios Diamantopolous Roman Pletka Slavisa Sarafijanovic A. L. N. Reddy Haris Pozidis 25 2 0 12 Mar 2024
CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation Chao Feng Alberto Huertas Celdrán Pedro Miguel Sánchez Sánchez Jan Kreischer Jan von der Assen Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 22 1 0 11 Aug 2023
RansomAI: AI-powered Ransomware for Stealthy Encryption Jan von der Assen Alberto Huertas Celdrán Janik Luechinger Pedro Miguel Sánchez Sánchez Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 16 5 0 27 Jun 2023
Fedstellar: A Platform for Decentralized Federated Learning Enrique Tomás Martínez Beltrán Á. Gómez Chao Feng Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 11 40 0 16 Jun 2023
Single-board Device Individual Authentication based on Hardware Performance and Autoencoder Transformer Models Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Gregorio Martínez Pérez 11 1 0 14 Jun 2023
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Gregorio Martínez Pérez AAML 19 17 0 30 Dec 2022
RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-day Attacks in IoT Alberto Huertas Celdrán Pedro Miguel Sánchez Sánchez Jan von der Assen T. Schenk Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller AAML 17 6 0 30 Dec 2022
A Lightweight Moving Target Defense Framework for Multi-purpose Malware Affecting IoT Devices Jan von der Assen Alberto Huertas Celdrán Pedro Miguel Sánchez Sánchez Jordan Cedeno Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 8 6 0 14 Oct 2022
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán T. Schenk A. Iten Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller AAML 6 18 0 31 Jan 2022
CyberSpec: Intelligent Behavioral Fingerprinting to Detect Attacks on Crowdsensing Spectrum Sensors Alberto Huertas Celdrán Pedro Miguel Sánchez Sánchez Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller AAML 18 3 0 14 Jan 2022
Robust Federated Learning for execution time-based device model identification under label-flipping attack Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán J. R. Rubio Gérome Bovet Gregorio Martínez Pérez FedML 23 6 0 29 Nov 2021
A methodology to identify identical single-board computers based on hardware behavior fingerprinting Pedro Miguel Sánchez Sánchez José María Jorquera Valero Alberto Huertas Celdrán Gérome Bovet M. Gil Pérez Gregorio Martínez Pérez 17 10 0 15 Jun 2021
Federated Learning for Malware Detection in IoT Devices Valerian Rey Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Martin Jaggi FedML 28 251 0 15 Apr 2021