| Title | Development of Deep Packet Inspection System for Network Traffic Analysis and Intrusion Detection |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Cheng, Z., Beshley, M., Beshley, H., Kochan, O., Urikova, O. |
| Conference Name | 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) |
| Keywords | computer network security, deep packet inspection, deep packet inspection system, DPI, DPI software system, Hurst flow parameter, Hurst parameter, information protocol., Internet of Things, Intrusion detection, IoT, IoT traffic, network attacks, network provider, Network security, network traffic, network traffic analysis, pubcrawl, Resiliency, Scalability, telecommunication traffic |
| Abstract | 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. |
| DOI | 10.1109/TCSET49122.2020.235562 |
| Citation Key | cheng_development_2020 |
Development of Deep Packet Inspection System for Network Traffic Analysis and Intrusion Detection