A Comparative Analysis of Intrusion Detection Systems: Leveraging Algorithm Classifications and Feature Selection Techniques

V Shakir, A Mohsin - Journal of Applied Science and Technology Trends, 2024 - jastt.org
With the increasing use of the Internet and its coverage of all areas of life and the increasing
amount of sensitive and confidential information on the Internet, the number of malicious …

Evaluation of classification algorithms for intrusion detection system: A review

AA Salih, AM Abdulazeez - Journal of Soft Computing and …, 2021 - publisher.uthm.edu.my
Intrusion detection is one of the most critical network security problems in the technology
world. Machine learning techniques are being implemented to improve the Intrusion …

A review of the advancement in intrusion detection datasets

A Thakkar, R Lohiya - Procedia Computer Science, 2020 - Elsevier
The research in the field of Cyber Security has raised the need to address the issue of
cybercrimes that have caused the requisition of the intellectual properties such as break …

An overview of the current classification techniques in intrusion detection

B Al-Dhafian, I Ahmad… - Proceedings of the …, 2015 - search.proquest.com
During the last decade, a lot of attention has been given to intrusion detection systems
(IDSs) as another security tools used to detect attacks and make working in computer …

[PDF][PDF] Classification for intrusion detection with different feature selection methods: a survey (2014–2016)

RF Najeeb, BN Dhannoon - International Journal of Advanced …, 2017 - researchgate.net
Gigantic development in system based services had brought about the upsurge of web
users, security dangers and digital assaults. Intrusion detection systems (IDSs) have turned …

Intrusion detection: A machine learning approach

V Borhade, A Nayak, R Dakshayani - Advanced Computing Technologies …, 2020 - Springer
Many intrusion detection systems exist, which fail to detect the intruder if rules are not coded
in the system. Data mining algorithms are effective to identify the pattern of intrusion …

An enhanced intrusion detection system using combinational feature ranking and machine learning algorithms

SK Jha, A Arora - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
In this modern era, where technology is booming, its dark side is also increasing constantly.
Hence, now-a-days, it has become a necessity to develop systems capable of identifying …

An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods

M Alkasassbeh - arXiv preprint arXiv:1712.09623, 2017 - arxiv.org
Despite the great developments in information technology, particularly the Internet, computer
networks, global information exchange, and its positive impact in all areas of daily life, it has …

Survey on classification techniques applied to intrusion detection system and its comparative analysis

R Uikey, M Gyanchandani - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Network security is the process of preventing and protecting against unauthorized access
from the Internet. Intrusion detection is a basic part of security tools eg, intrusion detection …

Comparative analysis of classification based intrusion detection techniques

NS Bhati, M Khari - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
Internet is in the reach of every person around the globe. Internet is basically a huge network
of machines all around the world, storing important data of every person, every nation. But …