A machine learning approach for detecting fast flux phishing hostnames

Thomas Nagunwa; Paul Kearney; Shereen Fouad

doi:10.1016/j.jisa.2022.103125

A machine learning approach for detecting fast flux phishing hostnames

Thomas Nagunwa^*, Paul Kearney, Shereen Fouad

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

18 Citations (SciVal)

Original language	English
Article number	103125
Journal	Journal of Information Security and Applications
Volume	65
DOIs	https://doi.org/10.1016/j.jisa.2022.103125
Publication status	Published (VoR) - Mar 2022

Funding

This research was funded by Commonwealth Scholarship Commission (UK) and Birmingham City University (UK) . The results and the views of this research are from the authors and were not influenced by the funding bodies.

Keywords

Deep learning
Fast flux service network
Flat classification
Hierarchical classification
Machine learning
Phishing hostname

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10.1016/j.jisa.2022.103125

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@article{bee302f6ec554a13a21e8c25246e94d5,

title = "A machine learning approach for detecting fast flux phishing hostnames",

keywords = "Deep learning, Fast flux service network, Flat classification, Hierarchical classification, Machine learning, Phishing hostname",

author = "Thomas Nagunwa and Paul Kearney and Shereen Fouad",

note = "Funding Information: This research was funded by Commonwealth Scholarship Commission (UK) and Birmingham City University (UK) . The results and the views of this research are from the authors and were not influenced by the funding bodies. Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

year = "2022",

month = mar,

doi = "10.1016/j.jisa.2022.103125",

language = "English",

volume = "65",

journal = "Journal of Information Security and Applications",

issn = "2214-2134",

publisher = "Elsevier",

}

TY - JOUR

T1 - A machine learning approach for detecting fast flux phishing hostnames

AU - Nagunwa, Thomas

AU - Kearney, Paul

AU - Fouad, Shereen

N1 - Funding Information: This research was funded by Commonwealth Scholarship Commission (UK) and Birmingham City University (UK) . The results and the views of this research are from the authors and were not influenced by the funding bodies. Publisher Copyright: © 2022 Elsevier Ltd

PY - 2022/3

Y1 - 2022/3

KW - Deep learning

KW - Fast flux service network

KW - Flat classification

KW - Hierarchical classification

KW - Machine learning

KW - Phishing hostname

UR - https://www.scopus.com/pages/publications/85124631623

UR - https://www.scopus.com/inward/citedby.url?scp=85124631623&partnerID=8YFLogxK

UR - https://www.open-access.bcu.ac.uk/12859/

U2 - 10.1016/j.jisa.2022.103125

DO - 10.1016/j.jisa.2022.103125

M3 - Article

AN - SCOPUS:85124631623

SN - 2214-2134

VL - 65

JO - Journal of Information Security and Applications

JF - Journal of Information Security and Applications

M1 - 103125

ER -

A machine learning approach for detecting fast flux phishing hostnames

Funding

Keywords

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