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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics

Lookup NU author(s): Dr Bo WeiORCiD

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Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Opara C, Chen Y, Wei B

Publication type: Article

Publication status: Published

Journal: Expert Systems with Applications

Year: 2023

Volume: 236

Print publication date: 01/02/2024

Online publication date: 16/08/2023

Acceptance date: 10/08/2023

Date deposited: 30/08/2023

ISSN (print): 0957-4174

ISSN (electronic): 1873-6793

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.eswa.2023.121183

DOI: 10.1016/j.eswa.2023.121183

Data Access Statement: Data will be made available on request.

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Funding

Funder referenceFunder name
Petroleum Technology Development Fund Nigeria

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