Adversarial threat evaluation of machine learning-based phishing detectors: a cybersecurity-focused black-box perspective

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Information and Computer Security
Published
2026-01-01
DOI
https://doi.org/10.1504/ijics.2026.10077273
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Adversarial threat evaluation of machine learning-based phishing detectors: a cybersecurity-focused black-box perspective

Eiman Tamah Al Shammari
International Journal of Information and Computer Security
Spam and Phishing Detection
article

Adversarial threat evaluation of machine learning-based phishing detectors: a cybersecurity-focused black-box perspective

Eiman Tamah Al Shammari
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information and Computer SecurityVol. 29(4)
Openalex Percentile: Top 7%
Spam and Phishing Detection
DOISourceOpenAlex
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Adversarial threat evaluation of machine learning-based phishing detectors: a cybersecurity-focused black-box perspective — Eiman Tamah Al Shammari · International Journal of Information and Computer Security (2026) | TGRS Research Map | TGRS