title: ÐÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ honeypot-ÑÐ¸ÑÑÐµÐ¼ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: Synthetic data generation for honeypot systems using deep learning methods
Creators: name: ÐÐ°Ð½Ð¸Ð»Ð¾Ð², ÐÐ»Ð°Ð´Ð¸ÑÐ»Ð°Ð²
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: 2022
Subjects: ÑÐ¸ÑÑÐµÐ¼Ð°
Ð¼ÐµÑÐ¾Ð´Ñ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
Ð³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð°ÑÐ°ÐºÐ¸ Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð²ÑÐ²Ð¾Ð´Ð°
honeypot
deep learning methods
synthetic data generation
machine learning
inference attack

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«ÐÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ honeypot-ÑÐ¸ÑÑÐµÐ¼ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸ÑÂ». ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð·Ð°Ð¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ honeypot-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 Ð¼ÐµÑÐ¾Ð´Ñ Ð³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ. Ð¦ÐµÐ»ÑÑ Ð´Ð¸Ð¿Ð»Ð¾Ð¼Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ honeypot-ÑÐ¸ÑÑÐµÐ¼ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ honeypot-ÑÐ¸ÑÑÐµÐ¼ Ð¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÑ Ð² Ð½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ. 2. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ. 3. ÐÐ½Ð°Ð»Ð¸Ð· Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¾ÑÐµÐ½ÐºÐ¸ ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐ³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð² ÐºÐ¾Ð½ÑÐµÐºÑÑÐµ honeypot-ÑÐ¸ÑÑÐµÐ¼. 4. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð°ÐºÐµÑÐ° Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ honeypot-ÑÐ¸ÑÑÐµÐ¼ Ð¸ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ°Ð»ÑÐ½Ð°Ñ Ð¾ÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ ÐµÐ³Ð¾ ÑÐ°Ð±Ð¾ÑÑ. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð²ÑÑÐ²Ð»ÐµÐ½Ñ Ð°ÐºÑÑÐ°Ð»ÑÐ½ÑÐµ ÑÐµÐ»ÐµÐ²ÑÐµ Ð¾Ð±ÑÐµÐºÑÑ ÑÐµÑÐµÐ²ÑÑ Ð°ÑÐ°Ðº Ð´Ð»Ñ Ð²ÑÐ±Ð¾ÑÐ° Ð³ÐµÐ½ÐµÑÐ¸ÑÑÐµÐ¼ÑÑ ÑÐ¸Ð¿Ð¾Ð² Ð´Ð°Ð½Ð½ÑÑ Ð² ÐºÐ¾Ð½ÑÐµÐºÑÑÐµ honeypot-ÑÐ¸ÑÑÐµÐ¼. ÐÐ»Ñ Ð³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð¼ÐµÑÐ¾Ð´Ñ Ð³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ. Ð¢Ð°ÐºÐ¶Ðµ Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð¼ÐµÑÐ¾Ð´Ñ Ð¾ÑÐµÐ½ÐºÐ¸ ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐ³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð² ÐºÐ¾Ð½ÑÐµÐºÑÑÐµ honeypot-ÑÐ¸ÑÑÐµÐ¼. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¼Ð°ÐºÐµÑ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð² ÐºÐ¾Ð½ÑÐµÐºÑÑÐµ honeypot-ÑÐ¸ÑÑÐµÐ¼ Ð¸ Ð¿ÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½Ð° Ð¾ÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ ÐµÐ³Ð¾ ÑÐ°Ð±Ð¾ÑÑ. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¼Ð¾Ð³ÑÑ Ð±ÑÑÑ ÑÑÐ¿ÐµÑÐ½Ð¾ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ñ Ð´Ð»Ñ Ð·Ð°Ð¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ honeypot-ÑÐ¸ÑÑÐµÐ¼ Ð¿Ð¾Ð´Ð´ÐµÐ»ÑÐ½ÑÐ¼Ð¸ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸.
description: The theme of the graduate qualification work is Â«Generation of synthetic data for honeypot systems using deep learning methodsÂ». This work is devoted to the study of the use of synthetic data for filling honeypot systems. The subject of the research is the methods of generating synthetic data. The aim of the thesis is to create an automated system for generating synthetic data for honeypot systems using deep learning methods. Tasks that were solved in the course of the study: 1. Research of honeypot systems and data used in them. 2. Study of existing methods for generating synthetic data. 3. Analysis of methods for assessing the quality of generated data in the context of honeypot systems. 4. Development of a layout of an automated system for generating synthetic data for honeypot systems and experimental evaluation of its effectiveness. The paper identified actual targets of network attacks to select generated data types in the context of honeypot systems. To generate synthetic data, the existing generation methods are investigated. Methods for assessing the quality of generated data in the context of honeypot systems are also analyzed. As a result, a layout of an automated system for generating synthetic data in the context of honeypot systems was developed and its effectiveness was evaluated. The results obtained can be successfully used to populate honeypot systems with fake data.