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2011•Unpublished venueRequires access

A novel Phishing classification based on URL features

Mahmoud Khonji, Andrew Jones, Youssef Iraqi

Open publisher page 35 citations

Abstract

Phishing is the process of illicitly obtaining data through social engineering via electronic communication channels. As reported by the Anti-Phishing Working Group (APWG), Phishing attacks are growing in volume and sophistication. As a result, the need to improve Phishing detection methods increases. We introduce a simple and novel Phishing classification feature that aims toward supplementing existing classifiers by detecting a subset of Phishing attacks.

About this research paper

What this paper is about

Phishing is the process of illicitly obtaining data through social engineering via electronic communication channels. As reported by the Anti-Phishing Working Group (APWG), Phishing attacks are growing in volume and sophistication. As a result, the need to improve Phishing detection methods increases. We introduce a simple and novel Phishing classification feature that aims toward supplementing existing classifiers by detecting a subset of Phishing attacks.

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OpenAlex reports 35 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

Phishing is the process of illicitly obtaining data through social engineering via electronic communication channels. As reported by the Anti-Phishing Working Group (APWG), Phishing attacks are growing in volume and sophistication. As a result, the need to improve Phishing detection methods increases. We introduce a simple and novel Phishing classification feature that aims toward supplementing existing classifiers by detecting a subset of Phishing attacks.

Key concepts: Phishing, Computer science, Sophistication, Volume (thermodynamics), Process (computing), Feature (linguistics), Computer security, The Internet

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