URL Phishing Detection using Lexical Featuresand Supervised Learning

Volume 20 No 7 (2022)

Manika Nanda, Shivani Goel and Pankaj Sharma

DOI: 10.14704/nq.2022.20.7.NQ33225

Abstract

Phishing is the most common threat and well-known crime on the internet for a long time. Today, the cyber world is facing this prominent security threat that can lead to identityor financial losses from frauds in online banking or other commercial websites. The severity of the threat is clear from the reports produced by the Anti-Phishing Working Group (APWG) everyyear. Detection and Prevention are two common ways to handle phishing

Keywords

Phishing, cybercrime, SVM, feature vector, web security

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