Kononov V.V.
THE USE OF ARTIFICIAL INTELLIGENCE IN SYSTEMS FOR IN-DEPTH ANALYSIS OF NETWORK TRAFFIC *
Аннотация:
the relevance of research is explained by the need to improve the network traffic analysis systems, including deep analysis systems, taking into account existing threats and vulnerabilities of network equipment and software of computer networks based on methods and algorithms of machine learning
Ключевые слова:
deep traffic analysis, computer network, traffic encryption, VPN, neural traffic analysis, random trees committee
The term “deep packet inspection” (DPI) [1] refers to the analysis of a network packet at the upper levels (application and presentation level) of the Open Systems Interaction Model (OSI) [2].In addition to analyzing network packets [3] using standard templates for certain parameters that can be used to unambiguously determine whether a packet belongs to a specific application, for example, by header format, port numbers, etc., the DPI system performs behavioral traffic analysis. This allows you to recognize applications that do not use known data headers and data structures for data exchange.For identification, a sequence of packets with the same characteristics is analyzed. Analyzed characteristics: Source_IP: port - Destination_IP: port, packet size, frequency of opening new sessions per unit of time, etc. The analysis is based on behavioral (heuristic) models corresponding to such applications.The main component of the DPI solution [4] is the classification module. It is responsible for the classification of network flows. The classification can be performed with varying accuracy depending on the purpose of the DPI application:type of protocol or application (e.g. Web, P2P, VoIP),specific application layer protocol (H
Номер журнала Вестник науки №12 (69) том 5 ч. 2
Ссылка для цитирования:
Kononov V.V. THE USE OF ARTIFICIAL INTELLIGENCE IN SYSTEMS FOR IN-DEPTH ANALYSIS OF NETWORK TRAFFIC // Вестник науки №12 (69) том 5 ч. 2. С. 85 - 90. 2023 г. ISSN 2712-8849 // Электронный ресурс: https://www.вестник-науки.рф/article/12162 (дата обращения: 19.05.2024 г.)
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