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June 20, 2026High-Confidence ComputingOpen Access

TCBI: A Three-Channel Behavioral Image-Based Method for encrypted malicious traffic detection

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Authors

HLHui LiYPYaoming PanCTChenxi Tan

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Overview

Randomized trial demonstrates improved detection of encrypted malicious traffic using TCBI method, indicating enhanced security measures.

Key Points

  • This research aims to improve the detection of encrypted malicious traffic by utilizing a novel three-channel behavioral image method.
  • Proposes TCBI for reconstructing encrypted traffic into tri-channel behavioral images.
  • Utilizes a dual-branch parallel detection model combining Swin Transformer and Bi-LSTM for feature extraction.
  • Incorporates learnable adaptive weighted fusion mechanisms for dynamic integration of multi-modal information.
  • TCBI shows excellent performance in detecting known malicious traffic.
  • Demonstrates superior generalization ability in unknown malicious traffic detection compared to existing methods.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a363172db0793dc1a538526https://doi.org/10.1016/j.hcc.2026.100416
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