Zequn Niu
Beijing Institute of Technology(CN)
Publications by Year
Research Areas
Network Security and Intrusion Detection, Advanced Malware Detection Techniques, Internet Traffic Analysis and Secure E-voting, Anomaly Detection Techniques and Applications, Spam and Phishing Detection
Most-Cited Works
- → An Adaptive Ensemble Machine Learning Model for Intrusion Detection(2019)498 cited
- → A Survey on Adversarial Attack in the Age of Artificial Intelligence(2021)75 cited
- → Malware classification for the cloud via semi-supervised transfer learning(2020)59 cited
- → A novel approach based on adaptive online analysis of encrypted traffic for identifying Malware in IIoT(2022)38 cited
- → A novel anomaly detection approach based on ensemble semi-supervised active learning (ADESSA)(2023)22 cited
- → QARF: A Novel Malicious Traffic Detection Approach via Online Active Learning for Evolving Traffic Streams(2024)7 cited
- → An empirical study of problems and evaluation of IoT malware classification label sources(2023)7 cited
- → Detection of Malicious Domains in APT via Mining Massive DNS Logs(2020)4 cited
- → Integrated bioinformatics and machine learning algorithms reveal the unfolded protein response pathways and immune infiltration in acute myocardial infarction(2024)1 cited