期刊名称：International Journal of Computer Networks and Applications (IJCNA)
电子版ISSN：2395-0455
出版年度：2016
卷号：3
期号：3
页码：63-69
语种：English
出版社：EverScience Publications
摘要：With an upsurge in the use of internet, there are various attacks being launched every day. These attacks target the vulnerabilities of various computer resources, such as, the operating system, web browsers, toolbars, etc. along with the susceptibility of the users due to lack of awareness about the possible scams. The existing solutions suffer various drawbacks. The website phishing solutions fail when JavaScript is used in the webpage. The email phishing solution propose use of a special web browser instead of the existing popular ones, in order to secure the user from phishing emails. The tabnabbing solutions follow visual cues which are prone to false negatives. The proposed approach aims to resolve these issues and provides a solution to phishing through websites, email phishing and tabnabbing using web browser monitor and an email phishing detection module that uses Bayesian classifier, but in a way different from the way it was used in a solution proposed earlier. The system keeps sending popups to the user until the user closes the phishing page detected by the system, hence reducing the chance of the user getting masqueraded.
