5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.NI2023★ 1 cited
Abnormal traffic detection system in SDN based on deep learning hybrid models
Kun Wang, Yu Fua, Xueyuan Duan +2
Software defined network (SDN) provides technical support for network construction in smart cities, However, the openness of SDN is also prone to more network attacks. Traditional…
cs.CR2022★ 5 cited
LDoS attack detection method based on traffic time-frequency characteristics
Yu Fu, Xueyuan Duan, Kun Wang +1
For the traditional denial-of-service attack detection methods have complex algorithms and high computational overhead, which are difficult to meet the demand of online detection;…
cs.NI2022★ 2 cited
Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature
Xueyuan Duan, Yu Fu, Kun Wang
To address the problem that traditional network traffic anomaly detection algorithms do not suffi-ciently mine potential features in long time domain, an anomaly detection method b…