Publication detail
Unmasking the Phishermen: Phishing Domain Detection with Machine Learning and Multi-Source Intelligence
HRANICKÝ, R. HORÁK, A. POLIŠENSKÝ, J. JEŘÁBEK, K. RYŠAVÝ, O.
Original Title
Unmasking the Phishermen: Phishing Domain Detection with Machine Learning and Multi-Source Intelligence
Type
conference paper
Language
English
Original Abstract
In the digital landscape, phishing attacks have rapidly evolved into a major cybersecurity challenge, posing significant risks to individuals and organizations. This short paper presents our preliminary research on detecting phishing domains. Our approach amalgamates intelligence from multiple sources: DNS servers, WHOIS/RDAP, TLS certificates, and GeoIP data. We created a rich 15.8 GB dataset of information about benign and phishing domains, from which we derived a comprehensive 80-feature vector for training and testing machine learning classifiers. We propose preliminary results with a fine-tuned XGBoost model, achieving 0.9716 precision rate, 0.9540 F-1 score, and false positive rate of 0.23%.
Keywords
Phishing, Domain, Detection, Machine learning, XGBoost, Features, DNS, RDAP, TLS, GeoIP
Authors
HRANICKÝ, R.; HORÁK, A.; POLIŠENSKÝ, J.; JEŘÁBEK, K.; RYŠAVÝ, O.
Released
6. 5. 2024
Publisher
Institute of Electrical and Electronics Engineers
Location
Soul
ISBN
979-8-3503-2794-6
Book
Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024
Pages from
1
Pages to
5
Pages count
5
URL
BibTex
@inproceedings{BUT186776,
author="Radek {Hranický} and Adam {Horák} and Jan {Polišenský} and Kamil {Jeřábek} and Ondřej {Ryšavý}",
title="Unmasking the Phishermen: Phishing Domain Detection with Machine Learning and Multi-Source Intelligence",
booktitle="Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024",
year="2024",
pages="1--5",
publisher="Institute of Electrical and Electronics Engineers",
address="Soul",
doi="10.1109/NOMS59830.2024.10575573",
isbn="979-8-3503-2794-6",
url="https://ieeexplore.ieee.org/document/10575573"
}
Responsibility: Ing. Marek Strakoš