Development of Deep Packet Inspection System for Network Traffic Analysis and Intrusion Detection

被引：2

作者：

Cheng, Zhihui ^{[1
]}

Beshley, Mykola ^{[2
]}

Beshley, Halyna ^{[2
]}

Kochan, Orest ^{[3
]}

Urikova, Oksana ^{[4
]}

机构：

[1] Hubei Univ Technol, Wuhan, Peoples R China

[2] Lviv Polytech Natl Univ, Dept Telecommun, 12 Bandery Str, Lvov, Ukraine

[3] Hubei Univ Technol, Sch Comp Sci, Wuhan, Peoples R China

[4] Lviv Polytech Natl Univ, Dept Finance, 12 Bandery Str, Lvov, Ukraine

来源：

15TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET - 2020) | 2020年

关键词：

IoT; Network traffic; Hurst parameter; DPI; information protocol;

D O I：

10.1109/TCSET49122.2020.235562

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

One of the most important issues in the development of the Internet of Things (IoT) is network security. The deep packet inspection (DPI) is a promising technology that helps to detection and protection against network attacks. The DPI software system for IoT is developed in this paper. The system for monitoring and analyzing IoT traffic to detect anomalies and identify attacks based on Hurst parameter is proposed. This system makes it possible to determine the Hurst flow parameter at different intervals of observation. This system can be installed on a network provider to use more effectively the bandwidth.

引用

下载

页码：877 / 881

页数：5

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