Preparing Datasets for Training in a Neural Network System of Intrusion Detection in Industrial Systems
- 作者: Krundyshev V.M.1
-
隶属关系:
- Peter the Great St. Petersburg Polytechnic University
- 期: 卷 53, 编号 8 (2019)
- 页面: 1012-1016
- 栏目: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175992
- DOI: https://doi.org/10.3103/S0146411619080121
- ID: 175992
如何引用文章
详细
One of the commonly known approaches to network security is the intrusion detection system (IDS) that analyzes the behavior of traffic and hosts in the network. This article presents a technique for generating datasets for the IDS and provides their characteristics as well as defines the features of typical attacks against industrial systems. The results can be used for training the AI IDS in detecting security threats to modern industrial systems.
作者简介
V. Krundyshev
Peter the Great St. Petersburg Polytechnic University
编辑信件的主要联系方式.
Email: vmk@ibks.spbstu.ru
俄罗斯联邦, St. Petersburg, 195251
补充文件
