Trans-IDS: A Transformer-Based Intrusion Detection System

El Mahdi Mercha, El Mahdi Mercha, El Mostapha Chakir, Mohammed Erradi

2023

Abstract

The increasing number of online systems and services has led to a rise in cyber security threats and attacks, making Intrusion Detection Systems (IDS) more crucial than ever. Intrusion Detection Systems (IDS) are designed to detect unauthorized access to computer systems and networks by monitoring network traffic and system activities. Owing to the valuable values provided by IDS, several machine learning-based approaches have been developed. However, most of these approaches rely on feature selection methods to overcome the problem of high-dimensional feature space. These methods may lead to the exclusion of important features or the inclusion of irrelevant ones, which can negatively impact the accuracy of the system. In this work, we propose Trans-IDS (transformer-based intrusion detection system), a transformer-based system for intrusion detection, which does not rely on feature selection methods. Trans-IDS learns efficient contextualized representations for both categorical and numerical features to achieve high prediction performance. Extensive experiments have been conducted on two publicly available datasets, namely UNSW-NB15 and NSL-KDD, and the achieved results show the efficiency of the proposed approach.

Paper Citation

in Harvard Style

Mercha E., Chakir E. and Erradi M. (2023). Trans-IDS: A Transformer-Based Intrusion Detection System. In Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT; ISBN 978-989-758-666-8, SciTePress, pages 402-409. DOI: 10.5220/0012085800003555

in Bibtex Style

@conference{secrypt23,
author={El Mercha and El Mostapha Chakir and Mohammed Erradi},
title={Trans-IDS: A Transformer-Based Intrusion Detection System},
booktitle={Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT},
year={2023},
pages={402-409},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012085800003555},
isbn={978-989-758-666-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Security and Cryptography - Volume 1: SECRYPT
TI - Trans-IDS: A Transformer-Based Intrusion Detection System
SN - 978-989-758-666-8
AU - Mercha E.
AU - Chakir E.
AU - Erradi M.
PY - 2023
SP - 402
EP - 409
DO - 10.5220/0012085800003555
PB - SciTePress