Detection and diagnosis of unknown threats in power equipment using machine learning and Spark technology
With the continuous advancement of network technology, attack behaviors have become increasingly diversified, giving rise to new challenges in threat detection. To effectively monitor and diagnose unknown threats, we have created an unknown threat detection model for power equipment based on Spark t...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2025-01-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/5.0191442 |
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