Comparative Analysis of Feature Selection Algorithms for Automated IoT Device Fingerprinting

Ahmet Aksoy, Sundeep Varma, Ganesha Moorthy, Enya Pan, Gorkem Kar

2024

Abstract

IoT devices are increasingly becoming a part of our daily lives. As such, there is a growing emphasis on enhancing their security, which will also ensure the security of the networks to which they belong. Identifying and isolating vulnerable devices from the network is crucial to increase overall security. In this paper, we demonstrate the contribution of various feature selection algorithms used with Decision Tree classifiers to the problem of detecting vendors and types of IoT devices. We use a single TCP/IP packet originating from each device and utilize their packet header field values to capture their unique fingerprints automatically. We compare several algorithms from the Filter, Wrapper, Embedded, and Search Optimization domains of feature selection and indicate which works best for individual scenarios. We utilize the IoT Sentinel dataset and achieve 95.3% accuracy in classifying 126,209 unique TCP/IP packets across various vendors of devices using weighted accuracy and 88.7% accuracy using macro accuracy, which is the average of F1-Scores of all vendors in the dataset.

Paper Citation

in Harvard Style

Aksoy A., Varma S., Moorthy G., Pan E. and Kar G. (2024). Comparative Analysis of Feature Selection Algorithms for Automated IoT Device Fingerprinting. In Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP; ISBN 978-989-758-683-5, SciTePress, pages 430-437. DOI: 10.5220/0012379100003648

in Bibtex Style

@conference{icissp24,
author={Ahmet Aksoy and Sundeep Varma and Ganesha Moorthy and Enya Pan and Gorkem Kar},
title={Comparative Analysis of Feature Selection Algorithms for Automated IoT Device Fingerprinting},
booktitle={Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP},
year={2024},
pages={430-437},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012379100003648},
isbn={978-989-758-683-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP
TI - Comparative Analysis of Feature Selection Algorithms for Automated IoT Device Fingerprinting
SN - 978-989-758-683-5
AU - Aksoy A.
AU - Varma S.
AU - Moorthy G.
AU - Pan E.
AU - Kar G.
PY - 2024
SP - 430
EP - 437
DO - 10.5220/0012379100003648
PB - SciTePress