Enhancing Malicious Domain Detection Using a Bagging-Based Ensemble Machine Learning Model on DNS Data

The Domain Name System (DNS) simplifies Internet navigation by allowing users to refer to machines or services with human-readable domain names rather than machine-readable Internet Protocol (IP) addresses. This feature, along with some more technical features, makes DNS a critical Internet component. At the same time, it has made it a target for cybercriminals to […]

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Publication Details

Published
2024-12-31
DOI
https://doi.org/10.20533/icitst.2024.0020
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Malicious Domain Detection Using a Bagging-Based Ensemble Machine Learning Model on DNS Data

Bukola A. Ifedayo-Ojo
Network Security and Intrusion Detection
article

Enhancing Malicious Domain Detection Using a Bagging-Based Ensemble Machine Learning Model on DNS Data

Bukola A. Ifedayo-Ojo
article en

Abstract

The Domain Name System (DNS) simplifies Internet navigation by allowing users to refer to machines or services with human-readable domain names rather than machine-readable Internet Protocol (IP) addresses. This feature, along with some more technical features, makes DNS a critical Internet component. At the same time, it has made it a target for cybercriminals to […]

Openalex Percentile: Top 65%
Network Security and Intrusion Detection
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Enhancing Malicious Domain Detection Using a Bagging-Based Ensemble Machine Learning Model on DNS Data — Bukola A. Ifedayo-Ojo · (2024) | TGRS Research Map | TGRS