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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 identification

Future generations computer systems (FGCS), 2022
30 December 2022
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Gérome Bovet
Gregorio Martínez Pérez
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification"

2 / 2 papers shown
Title
SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks
SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networksJournal of Information Security and Applications (JISA), 2025
T. Yasarathna
Nhien-An Le-Khac
AAML
84
0
0
30 Sep 2025
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
236
5
0
14 Jun 2023
1