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Zhigang Lu 0002
Person information
- affiliation: Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China
Other persons with the same name
- Zhigang Lu — disambiguation page
- Zhigang Lu 0001 — James Cook University, College of Science and Engineering, Townsville, QLD, Australia (and 2 more)
- Zhigang Lu 0003 — Yanshan University, Department of Electrical Engineering, Qinhuangdao, China (and 1 more)
- Zhigang Lu 0004 — Chinese Academy of Sciences, Institute of Software, Beijing, China (and 1 more)
- Zhigang Lu 0005 — Shanghai Maritime University, Department of Management Science, China
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2020 – today
- 2024
- [j18]Yiru Gong, Susu Cui, Song Liu, Bo Jiang, Cong Dong, Zhigang Lu:
Graph-based insider threat detection: A survey. Comput. Networks 254: 110757 (2024) - [j17]Yufan Chen, Jiahai Yang, Susu Cui, Cong Dong, Bo Jiang, Yuling Liu, Zhigang Lu:
Unveiling encrypted traffic types through hierarchical network characteristics. Comput. Secur. 138: 103645 (2024) - [j16]Haitao Xiao, Yan Zhu, Bin Zhang, Zhigang Lu, Dan Du, Yuling Liu:
Unveiling shadows: A comprehensive framework for insider threat detection based on statistical and sequential analysis. Comput. Secur. 138: 103665 (2024) - [j15]Yiren Chen, Mengjiao Cui, Ding Wang, Yiyang Cao, Peian Yang, Bo Jiang, Zhigang Lu, Baoxu Liu:
A survey of large language models for cyber threat detection. Comput. Secur. 145: 104016 (2024) - [j14]Chuyi Yan, Xueying Han, Yan Zhu, Dan Du, Zhigang Lu, Yuling Liu:
Phishing behavior detection on different blockchains via adversarial domain adaptation. Cybersecur. 7(1): 45 (2024) - [j13]Boyuan Xu, Yiru Gong, Xiaoyu Geng, Yun Li, Cong Dong, Song Liu, Yuling Liu, Bo Jiang, Zhigang Lu:
ProcSAGE: an efficient host threat detection method based on graph representation learning. Cybersecur. 7(1): 51 (2024) - [j12]Xueying Han, Song Liu, Junrong Liu, Bo Jiang, Zhigang Lu, Baoxu Liu:
ECNet: Robust Malicious Network Traffic Detection With Multi-View Feature and Confidence Mechanism. IEEE Trans. Inf. Forensics Secur. 19: 6871-6885 (2024) - [c33]Haitao Xiao, Dan Du, Junrong Liu, Song Liu, Yan Zhu, Yuling Liu, Zhigang Lu:
Deep Dive into Insider Threats: Malicious Activity Detection within Enterprise. CSCWD 2024: 1578-1584 - [c32]Yitan Huang, Jian Qin, Zelin Cui, Ning Li, Bo Jiang, Zhigang Lu:
HBGraph: a Host Behavior Graph Model for C&C Traffic Detection. CSCWD 2024: 2788-2793 - [c31]Xueying Han, Susu Cui, Jian Qin, Song Liu, Bo Jiang, Cong Dong, Zhigang Lu, Baoxu Liu:
ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning. WWW 2024: 1680-1689 - [i4]Susu Cui, Xueying Han, Dongqi Han, Zhiliang Wang, Weihang Wang, Yun Li, Bo Jiang, Baoxu Liu, Zhigang Lu:
FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts. CoRR abs/2408.14122 (2024) - [i3]Weiheng Wu, Wei Qiao, Wenhao Yan, Bo Jiang, Yuling Liu, Baoxu Liu, Zhigang Lu, Junrong Liu:
Winemaking: Extracting Essential Insights for Efficient Threat Detection in Audit Logs. CoRR abs/2411.02775 (2024) - 2023
- [j11]Qing Wang, Cong Dong, Shijie Jian, Dan Du, Zhigang Lu, Yinhao Qi, Dongxu Han, Xiaobo Ma, Fei Wang, Yuling Liu:
HANDOM: Heterogeneous Attention Network Model for Malicious Domain Detection. Comput. Secur. 125: 103059 (2023) - [j10]Xueying Han, Susu Cui, Song Liu, Chen Zhang, Bo Jiang, Zhigang Lu:
Network intrusion detection based on n-gram frequency and time-aware transformer. Comput. Secur. 128: 103171 (2023) - [j9]Cong Dong, Jiahai Yang, Song Liu, Zhi Wang, Yuling Liu, Zhigang Lu:
C-BEDIM and S-BEDIM: Lateral movement detection in enterprise network through behavior deviation measurement. Comput. Secur. 130: 103267 (2023) - [j8]Chuyi Yan, Chen Zhang, Meng Shen, Ning Li, Jinhao Liu, Yinhao Qi, Zhigang Lu, Yuling Liu:
Aparecium: understanding and detecting scam behaviors on Ethereum via biased random walk. Cybersecur. 6(1): 46 (2023) - [j7]Susu Cui, Cong Dong, Meng Shen, Yuling Liu, Bo Jiang, Zhigang Lu:
CBSeq: A Channel-Level Behavior Sequence for Encrypted Malware Traffic Detection. IEEE Trans. Inf. Forensics Secur. 18: 5011-5025 (2023) - [c30]Changzhi Zhao, Kezhen Huang, Di Wu, Xueying Han, Dan Du, Yutian Zhou, Zhigang Lu, Yuling Liu:
TAElog: A Novel Transformer AutoEncoder-Based Log Anomaly Detection Method. Inscrypt (2) 2023: 37-52 - [c29]Yiru Gong, Xueying Han, Dan Du, Xichen Du, Bo Jiang, Tian Tian, Zhigang Lu:
HLMD: Detecting Lateral Movement Using Heterogeneous Graph Model. HPCC/DSS/SmartCity/DependSys 2023: 122-130 - [c28]Simin Xu, Xueying Han, Tian Tian, Bo Jiang, Zhigang Lu, Chen Zhang:
Few-Shot Network Traffic Anomaly Detection Based on Siamese Neural Network. ICC 2023: 3012-3017 - [c27]Haitao Xiao, Jinzhong Yang, Yuling Liu, Junrong Liu, Dan Du, Zhigang Lu:
A Fast Gradient Boosting Based Approach for Predicting Frags in Tactic Games. ICME Workshops 2023: 6-10 - [c26]Tian Tian, Yiru Gong, Bo Jiang, Junrong Liu, Huamin Feng, Zhigang Lu:
Insider Threat Detection Based On Heterogeneous Graph Neural Network. TrustCom 2023: 628-635 - [i2]Susu Cui, Cong Dong, Meng Shen, Yuling Liu, Bo Jiang, Zhigang Lu:
CBSeq: A Channel-level Behavior Sequence For Encrypted Malware Traffic Detection. CoRR abs/2307.09002 (2023) - 2022
- [j6]Chuyi Yan, Chen Zhang, Zhigang Lu, Zehui Wang, Yuling Liu, Baoxu Liu:
Blockchain abnormal behavior awareness methods: a survey. Cybersecur. 5(1): 5 (2022) - [j5]Susu Cui, Jian Liu, Cong Dong, Zhigang Lu, Dan Du:
Only Header: a reliable encrypted traffic classification framework without privacy risk. Soft Comput. 26(24): 13391-13403 (2022) - [c25]Haitao Xiao, Yuling Liu, Dan Du, Zhigang Lu:
An Approach for Predicting the Costs of Forwarding Contracts using Gradient Boosting. FedCSIS 2022: 451-454 - [c24]Xueying Han, Pu Dong, Song Liu, Bo Jiang, Zhigang Lu, Zelin Cui:
IV-IDM: Reliable Intrusion Detection Method based on Involution and Voting. ICC 2022: 4162-4167 - [c23]Haitao Xiao, Chen Zhang, Song Liu, Bo Jiang, Zhigang Lu, Fei Wang, Yuling Liu:
CapsITD: Malicious Insider Threat Detection Based on Capsule Neural Network. SecureComm 2022: 57-71 - 2021
- [j4]Cong Dong, Zhigang Lu, Zelin Cui, Baoxu Liu, Kai Chen:
MBTree: Detecting Encryption RATs Communication Using Malicious Behavior Tree. IEEE Trans. Inf. Forensics Secur. 16: 3589-3603 (2021) - [c22]Haitao Xiao, Yuling Liu, Dan Du, Zhigang Lu:
WP-GBDT: An Approach for Winner Prediction using Gradient Boosting Decision Tree. IEEE BigData 2021: 5691-5698 - [c21]Cong Dong, Yufan Chen, Yunjian Zhang, Yuling Liu, Zhigang Lu, Pu Dong, Baoxu Liu:
BEDIM: Lateral Movement Detection In Enterprise Network Through Behavior Deviation Measurement. HPCC/DSS/SmartCity/DependSys 2021: 391-398 - [c20]Jiyue Tang, Le Yang, Song Liu, Wenmao Liu, Meng Wang, Chonghua Wang, Bo Jiang, Zhigang Lu:
Caps-LSTM: A Novel Hierarchical Encrypted VPN Network Traffic Identification Using CapsNet and LSTM. SciSec 2021: 139-153 - 2020
- [j3]Cong Dong, Chen Zhang, Zhigang Lu, Baoxu Liu, Bo Jiang:
CETAnalytics: Comprehensive effective traffic information analytics for encrypted traffic classification. Comput. Networks 176: 107258 (2020) - [j2]Liangchen Chen, Shu Gao, Baoxu Liu, Zhigang Lu, Zhengwei Jiang:
THS-IDPC: A three-stage hierarchical sampling method based on improved density peaks clustering algorithm for encrypted malicious traffic detection. J. Supercomput. 76(9): 7489-7518 (2020) - [c19]Qing Wang, Linyu Li, Bo Jiang, Zhigang Lu, Junrong Liu, Shijie Jian:
Malicious Domain Detection Based on K-means and SMOTE. ICCS (2) 2020: 468-481 - [c18]Bo Jiang, Zhigang Lu, Yuling Liu, Ning Li, Zelin Cui:
Social Recommendation in Heterogeneous Evolving Relation Network. ICCS (1) 2020: 554-567 - [c17]Yaopeng Han, Zhigang Lu, Bo Jiang, Yuling Liu, Chen Zhang, Zhengwei Jiang, Ning Li:
MTLAT: A Multi-Task Learning Framework Based on Adversarial Training for Chinese Cybersecurity NER. NPC 2020: 43-54 - [c16]Xueying Han, Rongchao Yin, Zhigang Lu, Bo Jiang, Yuling Liu, Song Liu, Chonghua Wang, Ning Li:
STIDM: A Spatial and Temporal Aware Intrusion Detection Model. TrustCom 2020: 370-377 - [i1]Cong Dong, Zhigang Lu, Yufan Chen, Zelin Cui, Baoxu Liu:
MBTree: Detecting Encryption RAT Communication Using Malicious Behavior Tree. CoRR abs/2006.10196 (2020)
2010 – 2019
- 2019
- [c15]Tian Wang, Chen Zhang, Zhigang Lu, Dan Du, Yaopeng Han:
Identifying Truly Suspicious Events and False Alarms Based on Alert Graph. IEEE BigData 2019: 5929-5936 - [c14]Bo Jiang, Zhigang Lu, Ning Li, Jianjun Wu, Feng Yi, Dongxu Han:
Retweeting Prediction Using Matrix Factorization with Binomial Distribution and Contextual Information. DASFAA (2) 2019: 121-138 - [c13]Susu Cui, Bo Jiang, Zhenzhen Cai, Zhigang Lu, Song Liu, Jian Liu:
A Session-Packets-Based Encrypted Traffic Classification Using Capsule Neural Networks. HPCC/SmartCity/DSS 2019: 429-436 - [c12]Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu:
Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection. ICCS (2) 2019: 102-115 - [c11]Bo Jiang, Zhigang Lu, Ning Li, Zelin Cui:
Mention Recommendation with Context-Aware Probabilistic Matrix Factorization. ICCS (2) 2019: 247-261 - [c10]Zhenzhen Cai, Bo Jiang, Zhigang Lu, Junrong Liu, Pingchuan Ma:
isAnon: Flow-Based Anonymity Network Traffic Identification Using Extreme Gradient Boosting. IJCNN 2019: 1-8 - [c9]Ming Du, Jun Jiang, Zhengwei Jiang, Zhigang Lu, Xiangyu Du:
PRTIRG: A Knowledge Graph for People-Readable Threat Intelligence Recommendation. KSEM (1) 2019: 47-59 - [c8]Bo Jiang, Feng Yi, Jianjun Wu, Zhigang Lu:
Retweet Prediction Using Context-Aware Coupled Matrix-Tensor Factorization. KSEM (1) 2019: 185-196 - [c7]Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu:
STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection. TrustCom/BigDataSE 2019: 120-127 - [c6]Liya Su, Yepeng Yao, Zhigang Lu, Baoxu Liu:
Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection. TrustCom/BigDataSE 2019: 312-318 - 2018
- [j1]Xin Wang, Yang Wu, Zhigang Lu:
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). 计算机科学 45(3): 124-130 (2018) - [c5]Bo Jiang, Zhigang Lu, Ning Li, Jianjun Wu, Zhengwei Jiang:
Retweet Prediction Using Social-Aware Probabilistic Matrix Factorization. ICCS (1) 2018: 316-327 - [c4]Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu:
A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 708-715 - [c3]Yepeng Yao, Liya Su, Zhigang Lu:
DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-Based Network Traffic. MILCOM 2018: 579-584 - [c2]Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu:
Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection. TrustCom/BigDataSE 2018: 744-753 - 2016
- [c1]Bo Yang, Ning Li, Zhigang Lu, Jianguo Jiang:
Event Detection with Convolutional Neural Networks for Forensic Investigation. Intelligent Information Processing 2016: 97-107
Coauthor Index
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last updated on 2025-01-02 19:19 CET by the dblp team
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