title: ÐÐ½Ð°Ð»Ð¸Ð· ÑÐ³ÑÐ¾Ð· Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ Ð¿ÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ð¸ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Analysis of information security threats when using recommendation systems
Creators: name: ÐÐ½Ð¾ÑÐ¸Ð½, ÐÐ¸ÐºÐ¸ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
Ð¿Ð¾Ð¸ÑÐº ÑÑÐ·Ð²Ð¸Ð¼Ð¾ÑÑÐµÐ¹
Ð°Ð½Ð°Ð»Ð¸Ð· Ð»ÐµÐ½ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹
Ð¿ÐµÑÐµÑÑÑÐ¾Ð¹ÐºÐ° Ð»ÐµÐ½ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹
recommendation systems
vulnerability search
recommendation feed analysis
recommendation feed rebuilding

description: Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð°Ñ Ð¾ÑÐµÐ½ÐºÐ° ÑÐ³ÑÐ¾Ð· Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ Ð¿ÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ð¸ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼. ÐÑÐµÐ´Ð¼ÐµÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÑÑÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ ÑÐµÑÐ²Ð¸ÑÐ¾Ð². ÐÐ°Ð´Ð°ÑÐ¸, ÑÐµÑÐ°ÐµÐ¼ÑÐµ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ Ð¸Ð½ÑÐµÑÐ½ÐµÑ-ÑÐµÑÐ²Ð¸ÑÐ¾Ð². 2. ÐÐ½Ð°Ð»Ð¸Ð· Ð¸ Ð¾ÑÐµÐ½ÐºÐ° Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½ÑÑ ÑÐ³ÑÐ¾Ð· Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ Ð´Ð»Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÐµÐ¹ Ð¿ÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ð¸ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼. 3. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ¸ Ð²Ð¾ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÑÐ°Ð±Ð¾ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼. 4. ÐÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð°Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ, ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð¾ÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð¹ Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ¸ Ð½Ð° Ð¿ÑÐ¸Ð¼ÐµÑÐµ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ ÐÐ½ÑÐµÑÐ½ÐµÑ-ÑÐµÑÐ²Ð¸ÑÐ¾Ð². Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÑÐ°Ð±Ð¾ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð¿Ð¾Ð¿ÑÐ»ÑÑÐ½ÑÑ ÑÐµÑÐ²Ð¸ÑÐ¾Ð², Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÑÐ·Ð²Ð¸Ð¼Ð¾ÑÑÐ¸ Ð´Ð»Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ Ð¿ÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ð¸ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÑÐ°Ð±Ð¾ÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ° Ð¿Ð¾ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð´ÐµÐ¹ÑÑÐ²Ð¸Ð¹, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð² Ð½Ð°Ð¸Ð±Ð¾Ð»ÑÑÐµÐ¹ ÑÑÐµÐ¿ÐµÐ½Ð¸ Ð²Ð»Ð¸ÑÑÑ Ð½Ð° ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹. ÐÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ ÑÐ·ÑÐºÐ° python Ð¸Ð¼Ð¸ÑÐ¸ÑÐ¾Ð²Ð°Ð»Ð¸ÑÑ Ð´ÐµÐ¹ÑÑÐ²Ð¸Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ. Ð¢Ð°ÐºÐ¶Ðµ Ð½Ð°Ð¿Ð¸ÑÐ°Ð½ ÑÐºÑÐ¸Ð¿Ñ Ð´Ð»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð»ÐµÐ½ÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹. Ð¡Ð´ÐµÐ»Ð°Ð½ Ð²ÑÐ²Ð¾Ð´, ÑÑÐ¾ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¼Ð°Ð»Ð¾ Ð¸Ð·ÑÑÐµÐ½Ñ. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¼Ð¾Ð³ÑÑ Ð±ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ñ Ð² ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¾ÑÐ½Ð¾Ð²Ñ Ð´Ð»Ñ Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾ Ð¿ÑÐµÐ´Ð¾ÑÐ²ÑÐ°ÑÐµÐ½Ð¸Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð½Ð° ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹.
description: The purpose of the work is an automated assessment of information security threats when using recommendation systems. The subject of the study is recommendation systems of popular services. Tasks to be solved in the course of the study: 1. The study of recommendation systems of various popular Internet services. 2. Analysis and assessment of possible security threats to users when using recommendation systems. 3. Development of a methodology for restoring the algorithm of work of recommendation systems. 4. Software implementation, testing and evaluation of the effectiveness of the developed methodology on the example of recommendation systems of popular Internet services. In the course of the work, the algorithms of the recommendation systems of various popular services were investigated. The main vulnerabilities for the user when using recommendation systems were analyzed. As a result of the work, a methodology was developed to determine the actions that most affect the recommendation system. The users actions were recreated using python. A script was also written for automatic analysis of the recommendations feed. It was concluded that recommendation systems have been little studied. The results obtained can be used as a basis for designing a system to prevent automated influence on the recommendation system.