Susu Cui

According to our database, Susu Cui authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unveiling encrypted traffic types through hierarchical network characteristics.

Yufan Chen, Jiahai Yang, Susu Cui, Cong Dong, Bo Jiang, Yuling Liu, Zhigang Lu

Comput. Secur., March, 2024

MVDet: Encrypted malware traffic detection via multi-view analysis.

Susu Cui, Xueying Han, Cong Dong, Yun Li, Song Liu, Zhigang Lu, Yuling Liu

J. Comput. Secur., 2024

FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts.

Susu Cui, Xueying Han, Dongqi Han, Zhiliang Wang, Weihang Wang, Yun Li, Bo Jiang, Baoxu Liu, Zhigang Lu

CoRR, 2024

Graph-based insider threat detection: A survey.

Yiru Gong, Susu Cui, Song Liu, Bo Jiang, Cong Dong, Zhigang Lu

Comput. Networks, 2024

ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning.

Xueying Han, Susu Cui, Jian Qin, Song Liu, Bo Jiang, Cong Dong, Zhigang Lu, Baoxu Liu

Proceedings of the ACM on Web Conference 2024, 2024

2023

Network intrusion detection based on n-gram frequency and time-aware transformer.

Xueying Han, Susu Cui, Song Liu, Chen Zhang, Bo Jiang, Zhigang Lu

Comput. Secur., May, 2023

CBSeq: A Channel-Level Behavior Sequence for Encrypted Malware Traffic Detection.

Susu Cui, Cong Dong, Meng Shen, Yuling Liu, Bo Jiang, Zhigang Lu

IEEE Trans. Inf. Forensics Secur., 2023

2022

Only Header: a reliable encrypted traffic classification framework without privacy risk.

Susu Cui, Jian Liu, Cong Dong, Zhigang Lu, Dan Du

Soft Comput., December, 2022

2019

A Session-Packets-Based Encrypted Traffic Classification Using Capsule Neural Networks.

Susu Cui, Bo Jiang, Zhenzhen Cai, Zhigang Lu, Song Liu, Jian Liu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019