Guolin Shao

发表

The Analysis of Malicious Group Based on Suspicious Communication Behavior Aggregation

Xingshu Chen, Guolin Shao, Xuemei Zeng, 2017 .

An anomalous behavior detection model in cloud computing

Chun Xu, Xingshu Chen, Guolin Shao, 2016 .

Notice of Retraction: Efficient feature extraction using apache spark for network behavior anomaly detection

Li Yang, Wenxian Wang, Gang Liang, 2018, Tsinghua Science and Technology.

Research and practice of dynamic network security architecture for IaaS platforms

Chen Xingshu, Chen Lin, Guolin Shao, 2014 .

Labeling malicious communication samples based on semi-supervised deep neural network

Xingshu Chen, Guolin Shao, Xuemei Zeng, 2019, China Communications.

Deep Learning Hierarchical Representation From Heterogeneous Flow-Level Communication Data

Lina Wang, Xingshu Chen, Guolin Shao, 2020, IEEE Transactions on Information Forensics and Security.

Research of Security as a Service for VMs in IaaS Platform

Lin Chen, Xingshu Chen, Guolin Shao, 2018, IEEE Access.

Flow Context and Host Behavior Based Shadowsocks’s Traffic Identification

Yi Wen, Tao He, Qixu Wang, 2019, IEEE Access.

DTA-HOC: Online HTTPS traffic service identification using DNS in large-scale networks

He Tao, Lina Wang, Xingshu Chen, 2020, Tsinghua Science and Technology.

DGA-based botnet detection toward imbalanced multiclass learning

Xingshu Chen, Guolin Shao, Yijing Chen, 2021, Tsinghua Science and Technology.

Erratum to "DGA-based botnet detection toward imbalanced multiclass learning"

Xingshu Chen, Guolin Shao, Yijing Chen, 2021 .