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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-02565-z |
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