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

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.

• Publication year

  2020

• Venue

  International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science

• Publication date

  2020-02-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/TCSET49122.2020.235562
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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