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Found 2 papers, 1 papers with code
Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning on CAN Messages
In this paper, we propose StatGraph: an Effective Multi-view Statistical Graph Learning Intrusion Detection to implement the fine-grained intrusion detection.
Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training
Despite some existing learning-based ETC methods showing promising results, three-fold limitations still remain in real-world network environments, 1) label bias caused by traffic class imbalance, 2) traffic homogeneity caused by component sharing, and 3) training with reliance on sufficient labeled traffic.
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