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...

Cijeli opis

Bibliografski detalji

Glavni autori:	Ayman El Aassal, Shahryar Baki, Avisha Das, Rakesh M. Verma
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2020-01-01
Serija:	IEEE Access
Teme:	Feature engineering feature taxonomy framework phishing email phishing URL phishing website
Online pristup:	https://ieeexplore.ieee.org/document/8970564/
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!