Detection of Abnormal Traffic in Dynamic Computer Networks with Mobile Consumer Devices
- 作者: Platonov V.V.1, Semenov P.O.1
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隶属关系:
- Peter the Great St.Petersburg Polytechnic University (SPbPU)
- 期: 卷 52, 编号 8 (2018)
- 页面: 959-964
- 栏目: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175684
- DOI: https://doi.org/10.3103/S0146411618080217
- ID: 175684
如何引用文章
详细
An adaptive model of a network attack detection system in a distributed computer network is proposed. The detection system is based on various methods of data mining allowing referring the network interaction to the normal or abnormal according to the set of the attributes extracted from the network traffic. The proposed model of the intrusion detection system allows ensuring the protection of devices of the Internet of things.
作者简介
V. Platonov
Peter the Great St.Petersburg Polytechnic University (SPbPU)
编辑信件的主要联系方式.
Email: plato@ibks.spbstu.ru
俄罗斯联邦, St. Petersburg
P. Semenov
Peter the Great St.Petersburg Polytechnic University (SPbPU)
编辑信件的主要联系方式.
Email: Semenovpo@gmail.com
俄罗斯联邦, St. Petersburg
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