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February 2, 2026SymmetryOpen Access

A Hybrid Deep Learning Model Based on Spatio-Temporal Feature Mining for Traffic Analysis in Industrial Internet Gateway

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Authors

DLD. LiPHPinglai HeJLJiayi Li

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Overview

A hybrid deep learning model detects complex traffic in industrial internet environments, suggesting improved security solutions.

Key Points

  • The study aims to develop an effective model for identifying and analyzing traffic patterns in the Industrial Internet.
  • Developed CBiNet, combining 1D-CNN and BiLSTM models.
  • Analyzed asymmetric spatio-temporal traffic features.
  • Conducted experimental validation in industrial internet environments.
  • CBiNet efficiently identifies complex traffic patterns.
  • Achieved high accuracy in intrusion detection tasks.
  • Demonstrated scalability for handling growing data traffic.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6980fecbc1c9540dea811289https://doi.org/10.3390/sym18020245
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