2 papers
cs.AI2026
A Resilience Recovery Method for Complex Traffic Network Security Based on Trend Forecasting
Sheng Hong, Tianyu Yue, Yang You +4
Due to the rapid development of information technology, a huge and complex traffic network has been established across various sectors, including aviation, aerospace, vehicles, shi…
cs.CR2026
BGA: A noise-immune neural distillation framework for malicious signature extraction in high-entropy encrypted flows
Sheng Hong, Yixuan Huang, Weiwei Jiang +3
To mitigate attention dilution in high-entropy TLS 1.3 flows, we propose BGA, a noise-immune neural distillation framework for encrypted threat intelligence.The methodology first e…