Paper Title

PhishFighter: A Hybrid Anti-Phishing Plug-in

Authors

  • Beena Kurian
  • Jasmine Jolly
  • Beena M V

Keywords

Anti-Phishing, PhishFighter, Visual Similarity, Textual Similarity, Blacklist and Whitelist

Abstract

Phishing is a type of internet crime in which phishers create copy-cat web pages which is almost visually and textually similar to target organizations like PayPal, eBay, etc. Even though browsers have built-in anti-phishing functionality, a major problem is that most web browsers rely on a blacklist of known phishing sites. Almost all phishing sites have a short lifespan as a few hours. In order to identify non-blacklisted phishing sites in this hour, a faster anti-phishing system is needed. The proposed system is a hybrid anti-phishing framework for phishing webpage detection. The system will take URL as input and detect whether it is phishing web page or not. The first phase of detection process is initiated by blacklist checking and lexical feature collection of URL. In the second phase, the detection process starts with a form tag checking. Third phase is started, if there is a form tag and user click on the safety checking icon. In this phase the system will go for visual content analysis, textual content analysis and URL scheme checking to measure the similarity between protected web page and suspicious web page.

Article Type

Published

How To Cite

Beena Kurian, Jasmine Jolly, Beena M V. "PhishFighter: A Hybrid Anti-Phishing Plug-in".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.2, Issue 2, pp.2572-2580, URL :https://rjwave.org/ijedr/papers/IJEDR1402204.pdf

Issue

Volume 2 Issue 2 

Pages. 2572-2580

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