Application of a Neocortex Model to Identify Contextual Anomalies in the Industrial Internet of Things Network Traffic

被引：0
|
作者：
Markov, G. A. [1 ]
机构：
[1] Jet Infosystems, Moscow 127015, Russia
来源：
AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2023年 / 57卷 / 08期
关键词：
hierarchical-temporal memory; artificial intelligence; contextual anomalies; machine learning; neocortex; industrial Internet of Things; network traffic; HTM;
D O I：
10.3103/S0146411623080163
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper examines the problem of identifying network anomalies when processing data streams in industrial systems. A network anomaly refers to a malicious signature and the current context: network environment and topology, routing parameters, and node characteristics. As a result of the study, it is proposed to use a neocortex model that supports the memory mechanism to detect network anomalies.
引用
收藏
页码：1018 / 1024
页数：7
相关论文
共 50 条
  • [41] Anomaly traffic detection based on feature fluctuation for secure industrial internet of things
    Jie Yin
    Chuntang Zhang
    Wenwei Xie
    Guangjun Liang
    Lanping Zhang
    Guan Gui
    Peer-to-Peer Networking and Applications, 2023, 16 : 1680 - 1695
  • [42] Using Internet traffic self-similarity for detection of network anomalies
    Dobrescu, R.
    Dobrescu, M.
    Hossu, D.
    Taralunga, S.
    OPTIM 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT, VOL III, 2008, : 81 - 86
  • [43] Gamma-modulated Wavelet Model for Internet of Things Traffic
    Li, Yuhong
    Huang, Yuanyuan
    Su, Xiang
    Riekki, Jukka
    Flores, Huber
    Sun, Chao
    Wei, Hanyu
    Wang, Hao
    Han, Lei
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [44] Application of Apparel Network Customization Based on the Internet of Things
    Hua, Liu
    Hong, Xie
    PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 888 - 892
  • [45] Application of industrial Internet of things technology in fault diagnosis of food machinery equipment based on neural network
    Hongpeng Liu
    Soft Computing, 2023, 27 : 9001 - 9018
  • [46] The Application Effect of Improved CS-RBF Neural Network in Industrial Internet of Things Node Localization
    Liu, Tingting
    Zhang, Zhenhan
    Informatica (Slovenia), 2024, 48 (13): : 51 - 66
  • [47] Application of industrial Internet of things technology in fault diagnosis of food machinery equipment based on neural network
    Liu, Hongpeng
    SOFT COMPUTING, 2023, 27 (13) : 9001 - 9018
  • [48] Towards a generalized hybrid deep learning model with optimized hyperparameters for malicious traffic detection in the Industrial Internet of Things
    Babayigit, Bilal
    Abubaker, Mohammed
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 128
  • [49] Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
    Lopez-Martin, Manuel
    Carro, Belen
    Sanchez-Esguevillas, Antonio
    Lloret, Jaime
    IEEE ACCESS, 2017, 5 : 18042 - 18050
  • [50] A Novel Short-Term Traffic Prediction Model Based on SVD and ARIMA With Blockchain in Industrial Internet of Things
    Miao, Ying
    Bai, Xiuhong
    Cao, Yuxuan
    Liu, Yuwen
    Dai, Fei
    Wang, Fan
    Qi, Lianyong
    Dou, Wanchun
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (24): : 21217 - 21226
12345