Exploring Efficiency of Machine Learning in Profiling of Internet of Things Devices for Malicious Activity Detection

Daniil Legkodymov, Dmitry Levshun

2025

Abstract

Security of Internet of Things devices is becoming an increasingly important task. The number of devices connected to the network is constantly growing, as is the threat of cyberattacks. One of the key solutions for this issue is profiling of such devices to improve the protection of systems they are used in. This work presents an approach for profiling of Internet of Things devices to detect malicious activity. Using machine learning, this approach allows identifying network events that may indicate cyberattacks. We describe all the main steps of the developed approach, including the processes of collecting and preprocessing data, selecting and training models, as well as testing and evaluating the effectiveness of the proposed solution. The results obtained demonstrate the applicability of our solution to ensure the security of systems with Internet of Things devices, as well as to reduce the security risks associated with such devices.

Paper Citation

in Harvard Style

Legkodymov D. and Levshun D. (2025). Exploring Efficiency of Machine Learning in Profiling of Internet of Things Devices for Malicious Activity Detection. In Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 2: ICISSP; ISBN 978-989-758-735-1, SciTePress, pages 276-283. DOI: 10.5220/0013389100003899

in Bibtex Style

@conference{icissp25,
author={Daniil Legkodymov and Dmitry Levshun},
title={Exploring Efficiency of Machine Learning in Profiling of Internet of Things Devices for Malicious Activity Detection},
booktitle={Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 2: ICISSP},
year={2025},
pages={276-283},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013389100003899},
isbn={978-989-758-735-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 2: ICISSP
TI - Exploring Efficiency of Machine Learning in Profiling of Internet of Things Devices for Malicious Activity Detection
SN - 978-989-758-735-1
AU - Legkodymov D.
AU - Levshun D.
PY - 2025
SP - 276
EP - 283
DO - 10.5220/0013389100003899
PB - SciTePress