Presentation Information
[BPO-1-09]Analyzing the Characteristics of Fake Shopping Sites for Fraudulent Site Access Control
◎△Koki Hashimoto1, Masaki Yoshii1, Osamu Mizuno1 (1. Kogakuin University)
Keywords:
Zero Trust Network,Detection of Fraudulent Website,Access Control
This study aims to control access to fake shopping sites based on site features and user behavior. The proposed system applies a Zero Trust Network (ZTN): it denies access to illegitimate sites and limits access to or re-authenticates suspicious ones, using a Database, a Command, and a Trust Engine Component to calculate a trust score and control access. We collected HTML source code from fake shopping sites using the Indian TLD via a Google search. The analysis revealed two features: favicons reuse specific company logos embedded as the same text string, identifiable by text search rather than image recognition; and the head source contains product-description keywords extractable by analyzing the HTML structure and text. In the future, we plan to study whether these features can identify fake websites and combine them with others to develop a concrete access control method.
