title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð´ÐµÑÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð¿ÑÐ¾ÑÐ¸Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐµÑÐµÐ²ÑÑ ÑÑÑÑÐ¾Ð¹ÑÑÐ² Ð¿Ð¾ Ð´Ð°Ð¼Ð¿Ð°Ð¼ ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ ÑÑÐ°ÑÐ¸ÐºÐ°
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: Investigation of methods for detecting and profiling network devices based on network traffic dumps
Creators: name: Ð¡ÑÐµÐ¿Ð°Ð½Ð¾Ð², ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
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: 2024
Subjects: ÑÐµÑÐµÐ²Ð¾Ð¹ ÑÑÐ°ÑÐ¸Ðº
Ð´ÐµÑÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÑÑÑÐ¾Ð¹ÑÑÐ²
Ð¿ÑÐ¾ÑÐ¸Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÑÑÑÐ¾Ð¹ÑÑÐ²
Ð´Ð°Ð¼Ð¿Ñ ÑÑÐ°ÑÐ¸ÐºÐ°
network trafic
devise detection
devise profiling
traffic dumps

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description: The purpose of the work is to investigate the possibility of the determining the characteristics of network devices based on the analysis of network traffic dumps. The subject of the study is certain packet headers that are able to provide information about network devices. The research set the following goals: 1. Studying the existing methods of detecting and profiling network devices. 2. Identify the features that are potentially suitable for identifying network devices and their characteristics. 3. Developing ways and means of processing IPSEC network traffic dumps to determine the characteristics of network devices. 4. To conduct experimental studies and evaluate the effectiveness of methods using the identified features. 5. Analyze the results obtained and evaluate the possibilities of using the identified features to determine the characteristics of network devices based on the analysis of network traffic dumps. In the course of the work, the principles of operation and the structure of IPsec protocol headers were investigated. As a result of the work, an algorithm was developed for detecting devices in the network by traffic dump using the IPsec secure protocol, and the effectiveness of the method was demonstrated. The results obtained can be used as a basis for designing passive network intelligence systems.