Open AccessAn Enhanced Anti-phishing Scheme to Detect Phishing Website
Author(s) -
Vani Rajasekar,
J. Premalatha,
K. Sathya,
S. Dhanesh Raakul,
Muzafer Saračević
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1055/1/012077
Subject(s) - phishing , computer science , scheme (mathematics) , word error rate , computer security , world wide web , the internet , artificial intelligence , mathematics , mathematical analysis
Phishing is a network attack in which attacker generates a replica of current legitimate site to contrivance the users into submitting their personal and sensitive information. A good anti-phishing solution should have rapid access time and rapid detection rate, but most of the existing solutions fail to satisfy it. A new method is proposed to prevent phishing attack which evaluates the URL Characteristics and cross check with the white-list. The proposed method has higher access time and higher detection rate than other methods. Whenever the user opens a website for the first time which is not available in the white-list, the algorithm proposed here examines the webpage using URL characteristics. The experimental results depict the accuracy of proposed method having accuracy of 93.8% with less negative rate.