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A Survey on Device Behavior Fingerprinting: Data Sources, Techniques,
  Application Scenarios, and Datasets
v1v2 (latest)

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

IEEE Communications Surveys and Tutorials (COMST), 2020
7 August 2020
Pedro Miguel Sánchez Sánchez
José María Jorquera Valero
Alberto Huertas Celdrán
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
ArXiv (abs)PDFHTML

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

19 / 19 papers shown
A Comprehensive Survey on Smart Home IoT Fingerprinting: From Detection to Prevention and Practical Deployment
A Comprehensive Survey on Smart Home IoT Fingerprinting: From Detection to Prevention and Practical Deployment
Eduardo Baena
Han Yang
Dimitrios Koutsonikolas
Israat Haque
164
0
0
09 Oct 2025
Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to PracticeIEEE Transactions on Information Forensics and Security (TIFS), 2025
Junqing Zhang
Francesco Ardizzon
Mattia Piana
Guanxiong Shen
Stefano Tomasin
227
21
0
11 Jun 2025
Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems
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
545
0
0
24 Feb 2025
A Factored MDP Approach To Moving Target Defense With Dynamic Threat
  Modeling and Cost Efficiency
A Factored MDP Approach To Moving Target Defense With Dynamic Threat Modeling and Cost Efficiency
Megha Bose
P. Paruchuri
Akshat Kumar
AAML
196
0
0
16 Aug 2024
Analyzing Consumer IoT Traffic from Security and Privacy Perspectives: a Comprehensive Survey
Analyzing Consumer IoT Traffic from Security and Privacy Perspectives: a Comprehensive Survey
Yan Jia
Yuxin Song
Zihou Liu
Qingyin Tan
Fangming Wang
Yu Zhang
Zheli Liu
230
0
0
24 Mar 2024
usfAD Based Effective Unknown Attack Detection Focused IDS Framework
usfAD Based Effective Unknown Attack Detection Focused IDS Framework
Md. Ashraf Uddin
Sunil Aryal
Mohamed Reda Bouadjenek
Muna Al-Hawawreh
Md. Alamin Talukder
AAML
260
16
0
17 Mar 2024
WannaLaugh: A Configurable Ransomware Emulator -- Learning to Mimic
  Malicious Storage Traces
WannaLaugh: A Configurable Ransomware Emulator -- Learning to Mimic Malicious Storage TracesAnnual Haifa Experimental Systems Conference (AHES), 2024
Dionysios Diamantopolous
Roman Pletka
Slavisa Sarafijanovic
A. L. N. Reddy
Haris Pozidis
256
5
0
12 Mar 2024
CyberForce: A Federated Reinforcement Learning Framework for Malware
  Mitigation
CyberForce: A Federated Reinforcement Learning Framework for Malware MitigationIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Chao Feng
Alberto Huertas Celdrán
Pedro Miguel Sánchez Sánchez
Jan Kreischer
Jan von der Assen
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
205
5
0
11 Aug 2023
RansomAI: AI-powered Ransomware for Stealthy Encryption
RansomAI: AI-powered Ransomware for Stealthy EncryptionGlobal Communications Conference (GLOBECOM), 2023
Jan von der Assen
Alberto Huertas Celdrán
Janik Luechinger
Pedro Miguel Sánchez Sánchez
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
204
10
0
27 Jun 2023
Fedstellar: A Platform for Decentralized Federated Learning
Fedstellar: A Platform for Decentralized Federated LearningExpert systems with applications (ESWA), 2023
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
518
80
0
16 Jun 2023
Single-board Device Individual Authentication based on Hardware
  Performance and Autoencoder Transformer Models
Single-board Device Individual Authentication based on Hardware Performance and Autoencoder Transformer ModelsComputers & security (Comput. Secur.), 2023
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Gérome Bovet
Gregorio Martínez Pérez
327
7
0
14 Jun 2023
Adversarial attacks and defenses on ML- and hardware-based IoT device
  fingerprinting and identification
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identificationFuture generations computer systems (FGCS), 2022
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Gérome Bovet
Gregorio Martínez Pérez
AAML
311
38
0
30 Dec 2022
RL and Fingerprinting to Select Moving Target Defense Mechanisms for
  Zero-day Attacks in IoT
RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-day Attacks in IoTIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Alberto Huertas Celdrán
Pedro Miguel Sánchez Sánchez
Jan von der Assen
T. Schenk
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
AAML
162
14
0
30 Dec 2022
A Lightweight Moving Target Defense Framework for Multi-purpose Malware
  Affecting IoT Devices
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
258
8
0
14 Oct 2022
Studying the Robustness of Anti-adversarial Federated Learning Models
  Detecting Cyberattacks in IoT Spectrum Sensors
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum SensorsIEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
T. Schenk
A. Iten
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
AAML
247
28
0
31 Jan 2022
CyberSpec: Intelligent Behavioral Fingerprinting to Detect Attacks on
  Crowdsensing Spectrum Sensors
CyberSpec: Intelligent Behavioral Fingerprinting to Detect Attacks on Crowdsensing Spectrum SensorsIEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Alberto Huertas Celdrán
Pedro Miguel Sánchez Sánchez
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
AAML
211
4
0
14 Jan 2022
Robust Federated Learning for execution time-based device model
  identification under label-flipping attack
Robust Federated Learning for execution time-based device model identification under label-flipping attackCluster Computing (Cluster Comput.), 2021
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
J. R. Rubio
Gérome Bovet
Gregorio Martínez Pérez
FedML
193
8
0
29 Nov 2021
A methodology to identify identical single-board computers based on
  hardware behavior fingerprinting
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
385
17
0
15 Jun 2021
Federated Learning for Malware Detection in IoT Devices
Federated Learning for Malware Detection in IoT Devices
Valerian Rey
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Gérome Bovet
Martin Jaggi
FedML
411
343
0
15 Apr 2021
1
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