Zhigang Lu

According to our database, Zhigang Lu authored at least 53 papers between 2016 and 2024.

Collaborative distances:

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

2024

Phishing behavior detection on different blockchains via adversarial domain adaptation.

Chuyi Yan, Xueying Han, Yan Zhu, Dan Du, Zhigang Lu, Yuling Liu

Cybersecur., December, 2024

ProcSAGE: an efficient host threat detection method based on graph representation learning.

Boyuan Xu, Yiru Gong, Xiaoyu Geng, Yun Li, Cong Dong, Song Liu, Yuling Liu, Bo Jiang, Zhigang Lu

Cybersecur., December, 2024

Unveiling shadows: A comprehensive framework for insider threat detection based on statistical and sequential analysis.

Haitao Xiao, Yan Zhu, Bin Zhang, Zhigang Lu, Dan Du, Yuling Liu

Comput. Secur., March, 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

ECNet: Robust Malicious Network Traffic Detection With Multi-View Feature and Confidence Mechanism.

Xueying Han, Song Liu, Junrong Liu, Bo Jiang, Zhigang Lu, Baoxu Liu

IEEE Trans. Inf. Forensics 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

A survey of large language models for cyber threat detection.

Yiren Chen, Mengjiao Cui, Ding Wang, Yiyang Cao, Peian Yang, Bo Jiang, Zhigang Lu, Baoxu Liu

Comput. Secur., 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

Deep Dive into Insider Threats: Malicious Activity Detection within Enterprise.

Haitao Xiao, Dan Du, Junrong Liu, Song Liu, Yan Zhu, Yuling Liu, Zhigang Lu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

HBGraph: a Host Behavior Graph Model for C&C Traffic Detection.

Yitan Huang, Jian Qin, Zelin Cui, Ning Li, Bo Jiang, Zhigang Lu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Aparecium: understanding and detecting scam behaviors on Ethereum via biased random walk.

Chuyi Yan, Chen Zhang, Meng Shen, Ning Li, Jinhao Liu, Yinhao Qi, Zhigang Lu, Yuling Liu

Cybersecur., December, 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

HANDOM: Heterogeneous Attention Network Model for Malicious Domain Detection.

Qing Wang, Cong Dong, Shijie Jian, Dan Du, Zhigang Lu, Yinhao Qi, Dongxu Han, Xiaobo Ma, Fei Wang, Yuling Liu

Comput. Secur., 2023

C-BEDIM and S-BEDIM: Lateral movement detection in enterprise network through behavior deviation measurement.

Cong Dong, Jiahai Yang, Song Liu, Zhi Wang, Yuling Liu, Zhigang Lu

Comput. Secur., 2023

Insider Threat Detection Based On Heterogeneous Graph Neural Network.

Tian Tian, Yiru Gong, Bo Jiang, Junrong Liu, Huamin Feng, Zhigang Lu

Proceedings of the 22nd IEEE International Conference on Trust, 2023

A Fast Gradient Boosting Based Approach for Predicting Frags in Tactic Games.

Haitao Xiao, Jinzhong Yang, Yuling Liu, Junrong Liu, Dan Du, Zhigang Lu

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Few-Shot Network Traffic Anomaly Detection Based on Siamese Neural Network.

Simin Xu, Xueying Han, Tian Tian, Bo Jiang, Zhigang Lu, Chen Zhang

Proceedings of the IEEE International Conference on Communications, 2023

HLMD: Detecting Lateral Movement Using Heterogeneous Graph Model.

Yiru Gong, Xueying Han, Dan Du, Xichen Du, Bo Jiang, Tian Tian, Zhigang Lu

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

TAElog: A Novel Transformer AutoEncoder-Based Log Anomaly Detection Method.

Changzhi Zhao, Kezhen Huang, Di Wu, Xueying Han, Dan Du, Yutian Zhou, Zhigang Lu, Yuling Liu

Proceedings of the Information Security and Cryptology - 19th International Conference, 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

Blockchain abnormal behavior awareness methods: a survey.

Chuyi Yan, Chen Zhang, Zhigang Lu, Zehui Wang, Yuling Liu, Baoxu Liu

Cybersecur., 2022

CapsITD: Malicious Insider Threat Detection Based on Capsule Neural Network.

Haitao Xiao, Chen Zhang, Song Liu, Bo Jiang, Zhigang Lu, Fei Wang, Yuling Liu

Proceedings of the Security and Privacy in Communication Networks, 2022

IV-IDM: Reliable Intrusion Detection Method based on Involution and Voting.

Xueying Han, Pu Dong, Song Liu, Bo Jiang, Zhigang Lu, Zelin Cui

Proceedings of the IEEE International Conference on Communications, 2022

An Approach for Predicting the Costs of Forwarding Contracts using Gradient Boosting.

Haitao Xiao, Yuling Liu, Dan Du, Zhigang Lu

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021

MBTree: Detecting Encryption RATs Communication Using Malicious Behavior Tree.

Cong Dong, Zhigang Lu, Zelin Cui, Baoxu Liu, Kai Chen

IEEE Trans. Inf. Forensics Secur., 2021

Caps-LSTM: A Novel Hierarchical Encrypted VPN Network Traffic Identification Using CapsNet and LSTM.

Jiyue Tang, Le Yang, Song Liu, Wenmao Liu, Meng Wang, Chonghua Wang, Bo Jiang, Zhigang Lu

Proceedings of the Science of Cyber Security - Third International Conference, 2021

BEDIM: Lateral Movement Detection In Enterprise Network Through Behavior Deviation Measurement.

Cong Dong, Yufan Chen, Yunjian Zhang, Yuling Liu, Zhigang Lu, Pu Dong, Baoxu Liu

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

WP-GBDT: An Approach for Winner Prediction using Gradient Boosting Decision Tree.

Haitao Xiao, Yuling Liu, Dan Du, Zhigang Lu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

THS-IDPC: A three-stage hierarchical sampling method based on improved density peaks clustering algorithm for encrypted malicious traffic detection.

Liangchen Chen, Shu Gao, Baoxu Liu, Zhigang Lu, Zhengwei Jiang

J. Supercomput., 2020

MBTree: Detecting Encryption RAT Communication Using Malicious Behavior Tree.

Cong Dong, Zhigang Lu, Yufan Chen, Zelin Cui, Baoxu Liu

CoRR, 2020

CETAnalytics: Comprehensive effective traffic information analytics for encrypted traffic classification.

Cong Dong, Chen Zhang, Zhigang Lu, Baoxu Liu, Bo Jiang

Comput. Networks, 2020

STIDM: A Spatial and Temporal Aware Intrusion Detection Model.

Xueying Han, Rongchao Yin, Zhigang Lu, Bo Jiang, Yuling Liu, Song Liu, Chonghua Wang, Ning Li

Proceedings of the 19th IEEE International Conference on Trust, 2020

MTLAT: A Multi-Task Learning Framework Based on Adversarial Training for Chinese Cybersecurity NER.

Yaopeng Han, Zhigang Lu, Bo Jiang, Yuling Liu, Chen Zhang, Zhengwei Jiang, Ning Li

Proceedings of the Network and Parallel Computing, 2020

Malicious Domain Detection Based on K-means and SMOTE.

Qing Wang, Linyu Li, Bo Jiang, Zhigang Lu, Junrong Liu, Shijie Jian

Proceedings of the Computational Science - ICCS 2020, 2020

Social Recommendation in Heterogeneous Evolving Relation Network.

Bo Jiang, Zhigang Lu, Yuling Liu, Ning Li, Zelin Cui

Proceedings of the Computational Science - ICCS 2020, 2020

2019

STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection.

Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu

Proceedings of the 18th IEEE International Conference On Trust, 2019

Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection.

Liya Su, Yepeng Yao, Zhigang Lu, Baoxu Liu

Proceedings of the 18th IEEE International Conference On Trust, 2019

Retweet Prediction Using Context-Aware Coupled Matrix-Tensor Factorization.

Bo Jiang, Feng Yi, Jianjun Wu, Zhigang Lu

Proceedings of the Knowledge Science, Engineering and Management, 2019

PRTIRG: A Knowledge Graph for People-Readable Threat Intelligence Recommendation.

Ming Du, Jun Jiang, Zhengwei Jiang, Zhigang Lu, Xiangyu Du

Proceedings of the Knowledge Science, Engineering and Management, 2019

isAnon: Flow-Based Anonymity Network Traffic Identification Using Extreme Gradient Boosting.

Zhenzhen Cai, Bo Jiang, Zhigang Lu, Junrong Liu, Pingchuan Ma

Proceedings of the International Joint Conference on Neural Networks, 2019

Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection.

Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu

Proceedings of the Computational Science - ICCS 2019, 2019

Mention Recommendation with Context-Aware Probabilistic Matrix Factorization.

Bo Jiang, Zhigang Lu, Ning Li, Zelin Cui

Proceedings of the Computational Science - ICCS 2019, 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

Retweeting Prediction Using Matrix Factorization with Binomial Distribution and Contextual Information.

Bo Jiang, Zhigang Lu, Ning Li, Jianjun Wu, Feng Yi, Dongxu Han

Proceedings of the Database Systems for Advanced Applications, 2019

Identifying Truly Suspicious Events and False Alarms Based on Alert Graph.

Tian Wang, Chen Zhang, Zhigang Lu, Dan Du, Yaopeng Han

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

基于威胁情报平台的恶意URL检测研究 (Study on Malicious URL Detection Based on Threat Intelligence Platform).

Xin Wang, Yang Wu, Zhigang Lu

计算机科学, 2018

Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection.

Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu

Proceedings of the 17th IEEE International Conference On Trust, 2018

DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-Based Network Traffic.

Yepeng Yao, Liya Su, Zhigang Lu

Proceedings of the 2018 IEEE Military Communications Conference, 2018

A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding.

Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Retweet Prediction Using Social-Aware Probabilistic Matrix Factorization.

Bo Jiang, Zhigang Lu, Ning Li, Jianjun Wu, Zhengwei Jiang

Proceedings of the Computational Science - ICCS 2018, 2018

2016

Event Detection with Convolutional Neural Networks for Forensic Investigation.

Bo Yang, Ning Li, Zhigang Lu, Jianguo Jiang

Proceedings of the Intelligent Information Processing VIII, 2016