SITE PROTECTION TECHNOLOGIES ON THE EXAMPLE OF ONLINE AUCTION SITES

Abstract

Background. The methods of protecting Internet auction sites from automated software, the use of which leads to unfair competition, are considered. Materials and methods. The analysis of existing methods of protecting Internet sites from bots is carried out, the attention is focused on tools based on the analysis of user behavior on the site, such as reCAPTCHA v3 and third-party services that provide protection services. The existing approach to the analysis of network activity based on machine learning techniques is also considered. It describes the main tools used by developers of software designed to automate actions on websites, including the Selenium web driver, as well as techniques to detect the use of such tools. Results and conclusions. As a result of the study, an automation software module was developed designed to check the security of selected sites in two ways, when testing a site with reCAPTCHA v3 installed, the vulnerability of the site to the work of automated software was 75 %. The most effective ways of detecting and blocking bots on websites have been developed and proposed, which significantly reduce the level of unfair competition on Internet auction sites.

Keywords

• online auction
• recaptcha
• waf
• protection from bots
• selenium
• python