Sep 13, 2017 · Extensive research and development have been conducted to detect phishing attempts based on their unique content, network, and URL ...
This paper presents a systematic study of phishing detection schemes, especially software based ones, and studies evaluation datasets, detection features, ...
Extensive research and development have been conducted to detect phishing attempts based on their unique content, network, and URL characteristics. Existing ...
This document summarizes a systematic review of software-based approaches for detecting web phishing. It discusses that phishing attacks are a growing ...
The average annual growth rate of the number of unique phishing websites detected by Anti Phishing Working Group (APWG) is 36.29% for the past six years and ...
Dive into the research topics of 'Systematization of Knowledge (SoK): A Systematic Review of Software-Based Web Phishing Detection'. Together they form a ...
Since 2010, the IEEE Symposium on Security and Privacy ("Oakland" conference) has included papers on Systematization of Knowledge (SoK).
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Systematization of Knowledge (SoK): A Systematic Review of Software-Based Web Phishing Detection. Dou, ZC; Khalil, I; Khreishah, A; Al-Fuqaha, A; Guizani, M.
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In this paper, we present a general scheme for building reproducible and extensible datasets for website phishing detection.
Sep 13, 2023 · We propose an integrated machine learning (ML) framework for fraudulent website detection to solve this problem.