Enhancing Network Security with RNA-Based Intrusion Detection and Cuckoo Search Algorithm

Omar Rashid, Hind Moutaz Al-Dabbas, Humam Al-Shahwani

2025

Abstract

Intrusion detection systems are an important component of defensive measures protecting computer systems and networks from abuse. The CICIDS2017 dataset is a rich dataset that contains the recent attack patterns on the network, therefore it suitable for IDS models. This paper focuses on the development of a new anomaly-based IDS utilizing RNA encoding coupled with the Cuckoo Search Algorithm for pattern-matching optimization on the CICIDS2017 network traffic dataset. The proposed method involves four steps: picking up the records from the dataset at random, encoding the 83 attributes into RNA sequences, identifying the keys for optimal behaviour through the Cuckoo Search Algorithm, and employing a matching model to categorize records as benign or malicious. The integration of the Cuckoo Search Algorithm helps in adjusting the behaviour key selection process using global exploration (Levy flights) and local optimization that enhances accuracy and the detection rate. Performance analysis of the proposed method was done based on detection rate (DR) for each thread, DR for all threads, false alarm rate (FAR), accuracy, RNA encoding time, and keys matching time. This novel approach has the potential to improve the response to real-time network security threats and the ability to counter new forms of cyber threats.

Paper Citation

in Harvard Style

Rashid O., Moutaz Al-Dabbas H. and Al-Shahwani H. (2025). Enhancing Network Security with RNA-Based Intrusion Detection and Cuckoo Search Algorithm. In Proceedings of the 2nd International Conference on Advances in Electrical, Electronics, Energy, and Computer Sciences - Volume 1: ICEEECS; ISBN 978-989-758-783-2, SciTePress, pages 106-111. DOI: 10.5220/0014372600004848

in Bibtex Style

@conference{iceeecs25,
author={Omar Rashid and Hind Moutaz Al-Dabbas and Humam Al-Shahwani},
title={Enhancing Network Security with RNA-Based Intrusion Detection and Cuckoo Search Algorithm},
booktitle={Proceedings of the 2nd International Conference on Advances in Electrical, Electronics, Energy, and Computer Sciences - Volume 1: ICEEECS},
year={2025},
pages={106-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014372600004848},
isbn={978-989-758-783-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Advances in Electrical, Electronics, Energy, and Computer Sciences - Volume 1: ICEEECS
TI - Enhancing Network Security with RNA-Based Intrusion Detection and Cuckoo Search Algorithm
SN - 978-989-758-783-2
AU - Rashid O.
AU - Moutaz Al-Dabbas H.
AU - Al-Shahwani H.
PY - 2025
SP - 106
EP - 111
DO - 10.5220/0014372600004848
PB - SciTePress