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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 enables us...

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Main Authors: Ayman El Aassal, Shahryar Baki, Avisha Das, Rakesh M. Verma
Format: Artigo
Language:Inglês
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Feature engineering
feature taxonomy
framework
phishing email
phishing URL
phishing website
Online Access:https://ieeexplore.ieee.org/document/8970564/
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