A Hybrid-Based Transfer Learning Approach for IoT Device Identification

Stephanie M. Opoku, Habib Louafi, Malek Mouhoub

2025

Abstract

The rapid growth and diversity of Internet of Things (IoT) devices pose significant challenges in device identification and network security. Traditional techniques for fingerprinting IoT devices frequently encounter challenges due to the complexity and scale of today’s IoT networks. This paper presents an innovative model applying transfer learning (TL) methodologies to analyze network data and precisely identify IoT devices. Our solution effectively classifies devices by integrating instance-based, feature-based, and hybrid-based TL methodologies for extracting essential features from traffic data. The proposed model undergoes a thorough evaluation on three benchmark IoT datasets, exhibiting improved prediction accuracy, precision, recall, and F1-Score relative to traditional methods. The hybrid technique significantly improves performance by handling computational and scalability issues. This paper highlights the effectiveness of TL in improving IoT device identification, providing an efficient and effective solution for various and dynamic network environments.

Paper Citation

in Harvard Style

Opoku S., Louafi H. and Mouhoub M. (2025). A Hybrid-Based Transfer Learning Approach for IoT Device Identification. In Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT; ISBN 978-989-758-760-3, SciTePress, pages 309-320. DOI: 10.5220/0013449000003979

in Bibtex Style

@conference{secrypt25,
author={Stephanie Opoku and Habib Louafi and Malek Mouhoub},
title={A Hybrid-Based Transfer Learning Approach for IoT Device Identification},
booktitle={Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT},
year={2025},
pages={309-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013449000003979},
isbn={978-989-758-760-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT
TI - A Hybrid-Based Transfer Learning Approach for IoT Device Identification
SN - 978-989-758-760-3
AU - Opoku S.
AU - Louafi H.
AU - Mouhoub M.
PY - 2025
SP - 309
EP - 320
DO - 10.5220/0013449000003979
PB - SciTePress