An In-Depth Benchmarking and Evaluation of Phishing Detection Research for Security Needs
We perform an in-depth, systematic benchmarking study and evaluation of phishing features on diverse and extensive datasets. We propose a new taxonomy of features based on the interpretation and purpose of each feature. Next, we propose a benchmarking framework called `PhishBench,' which enable...
Main Authors: | Ayman El Aassal, Shahryar Baki, Avisha Das, Rakesh M. Verma |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8970564/ |
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