Phishing Attack Detection by Using a Reputable Search Engine

Abstract

Phishing attack is one of the most critical issues on the Internet today as it poses serious threats on millions of end users and commercial institutions resulting large amounts of financial damages. Many approaches have attempted to solve the problem; however, most solutions have been proven ineffective as they lack the necessary interaction with users. In this paper, a novel anti-phishing approach, one that bases on a search engine, is presented. It aims to provide an effective and yet lightweight solution that addresses most common problems found in other current anti-phishing solutions. Our solution exploits search results made with unique keywords extracted from a suspicious web site on a reputable search engine, Google. Then, these search results are analyzed to determine whether a website is genuine or counterfeit. Detailed design and implementation issues will be presented in this paper as well as accuracy and performance issues will be addressed.

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