Research on encrypted malicious traffic detection in power information interaction: application of the electricity multi-granularity flow representation learning approach

Research on encrypted malicious traffic detection in power information interaction: application of the electricity multi-granularity flow representation learning approach

Abstract With the rapid digital transformation of power systems, encrypted communication technologies are increasingly adopted to enhance data privacy and security. However, this trend also creates potential covert channels for malicious traffic, making the detection of encrypted malicious traffic a...

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Bibliographic Details
Main Authors: Zhifu Wu, Xianfu Zhou, Xindai Lu, Liqiang Yang, Siqi Shen, Dong Yan
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Crypto malicious traffic detection
Multi-granularity representation learning
Power systems
Network security
Information interaction
Online Access:https://doi.org/10.1038/s41598-025-02565-z
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https://doi.org/10.1038/s41598-025-02565-z

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