Online phishing detection toolbar for transactions

Phoebe Barraclough, Graham Sexton, Nauman Aslam

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

Phishing attacks are growing rapidly causing financial losses annually particularly in online transactions. Previous solutions attempted to address phishing exist including toolbars and browsers that displays user warnings against phishing websites. Despite the existing solutions, there is still a lack of accuracy in real-time solutions causing inadequacy in online transactions. This paper extends our previous work [12] by developing an online toolbar which runs continuously in the background of Internet Explorer web browser checking all websites users request against a set-data in real-time. The proposed approach is a feature-based online toolbar using six sets of inputs, incorporating a voice generating user warning interface with a text directives and color status to detect phishing websites and alert users from phishing attacks. The new toolbar system has been vigorously evaluated using a wide-ranging websites including 200 Phishing websites, 200 suspicious websites and 200 legitimate websites which has demonstrated best performance (96%) compared to previous reported results in the field. The paper has contributed a novel voice generating user warning interface algorithm that has not been considered in phishing website detection field.
Original languageEnglish
Publication statusPublished - Jul 2015
EventScience and Information Conference 2015 - London
Duration: 1 Jul 2015 → …
http://thesai.org/SAIConference2015

Conference

ConferenceScience and Information Conference 2015
Period1/07/15 → …
Internet address

Keywords

  • Online intelligent
  • feature-based
  • phishing website detection
  • intelligent toolbar detection

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