Attack Detection by Rough Set Theory in Recommendation System. - Famei He; Xuren Wang; Baoxu Liu (GrC, 2010)

Framework of Cyber Attack Attribution Based on Threat Intelligence. - Qiang Li; Zeming Yang; Baoxu Liu; Zhengwei Jiang; Jian Yan 006 (InterIoT/SaSeIoT, 2016)

State-of-the-Art: Security Competition in Talent Education. - Xiu Zhang; Baoxu Liu; Xiaorui Gong; Zhenyu Song (Inscrypt, 2017)

LQR lateral-directional control law design for distributed propulsion layout flying wing. - Baoxu Liu; Zongxia Jiao (CIS/RAM, 2017)

Research on Identity Authentication Method Based on Negative Logic System. - Yexia Cheng; Yuejin Du; Jin Peng; Jun Fu 009; Baoxu Liu (CNCERT, 2018)

Trusted Secure Accessing Protection Framework Based on Cloud-Channel-Device Cooperation. - Yexia Cheng; Yuejin Du; Jin Peng; Jun Fu 009; Baoxu Liu (CNCERT, 2018)

New Security Attack and Defense Mechanisms Based on Negative Logic System and Its Applications. - Yexia Cheng; Yuejin Du; Jin Peng; Shen He; Jun Fu 009; Baoxu Liu (SciSec, 2018)

A Systematic Method on PDF Privacy Leakage Issues. - Yun Feng 003; Baoxu Liu; Xiang Cui; Chaoge Liu; Xuebin Kang; Junwei Su (TrustCom/BigDataSE, 2018)

A Quality Evaluation Method of Cyber Threat Intelligence in User Perspective. - Qiang Li; Zhengwei Jiang; Zeming Yang; Baoxu Liu; Xin Wang; Yunan Zhang (TrustCom/BigDataSE, 2018)

Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection. - Liya Su; Yepeng Yao; Ning Li; Junrong Liu; Zhigang Lu 002; Baoxu Liu (TrustCom/BigDataSE, 2018)

网络空间威胁情报共享技术综述 (Overview of Threat Intelligence Sharing Technologies in Cyberspace). - Peian Yang; Yang Wu; Liya Su; Baoxu Liu (计算机科学, 2018)

SRFuzzer: an automatic fuzzing framework for physical SOHO router devices to discover multi-type vulnerabilities. - Yu Zhang; Wei Huo; Kunpeng Jian; Ji Shi 002; Haoliang Lu; Longquan Liu; Chen Wang; Dandan Sun; Chao Zhang 008; Baoxu Liu (ACSAC, 2019)

An Approach for Scale Suspicious Network Events Detection. - Cong Dong; Yufan Chen; YunJian Zhang; Bo Jiang 013; Dongxu Han; Baoxu Liu (IEEE BigData, 2019)

Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection. - Yepeng Yao; Liya Su; Chen Zhang; Zhigang Lu 002; Baoxu Liu (ICCS (2), 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 002; Baoxu Liu (TrustCom/BigDataSE, 2019)

STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection. - Yepeng Yao; Liya Su; Zhigang Lu 002; Baoxu Liu (TrustCom/BigDataSE, 2019)

Integrated fault propagation model based vulnerability assessment of the electrical cyber-physical system under cyber attacks. - Tianlei Zang; Shibin Gao; Baoxu Liu; Tao Huang 002; Tao Wang 029; Xiaoguang Wei (Reliab. Eng. Syst. Saf., 2019)

RouAlign: Cross-Version Function Alignment and Routine Recovery with Graphlet Edge Embedding. - Can Yang; Jian Liu 008; Mengxia Luo; Xiaorui Gong; Baoxu Liu (SEC, 2020)

CETAnalytics: Comprehensive effective traffic information analytics for encrypted traffic classification. - Cong Dong; Chen Zhang; Zhigang Lu 002; Baoxu Liu; Bo Jiang 013 (Comput. Networks, 2020)

MBTree: Detecting Encryption RAT Communication Using Malicious Behavior Tree. - Cong Dong; Zhigang Lu 002; Yufan Chen; Zelin Cui; Baoxu Liu (CoRR, 2020)

Malware classification for the cloud via semi-supervised transfer learning. - Xianwei Gao; Changzhen Hu; Chun Shan; Baoxu Liu; Zequn Niu; Hui Xie (J. Inf. Secur. Appl., 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 002; Zhengwei Jiang (J. Supercomput., 2020)

Ghost in the Binder: Binder Transaction Redirection Attacks in Android System Services. - Xiaobo Xiang; Ren Zhang 003; Hanxiang Wen; Xiaorui Gong; Baoxu Liu (CCS, 2021)

Spear Phishing Emails Detection Based on Machine Learning. - Xiong Ding; Baoxu Liu; Zhengwei Jiang; Qiuyun Wang; Liling Xin (CSCWD, 2021)

Producing More with Less: A GAN-based Network Attack Detection Approach for Imbalanced Data. - Xingran Hao; Zhengwei Jiang; Qingsai Xiao; Qiuyun Wang; Yepeng Yao; Baoxu Liu; Jian Liu 008 (CSCWD, 2021)

APT Behaviors Detection Based on Email Business Scenarios. - Bo Bai; Yun Feng 003; Baoxu Liu; Xutong Wang; Jiaxi Liu; Qingyue Liu; Qixu Liu; Shuang Zhao (DSC, 2021)

BEDIM: Lateral Movement Detection In Enterprise Network Through Behavior Deviation Measurement. - Cong Dong; Yufan Chen; Yunjian Zhang; Yuling Liu; Zhigang Lu 002; Pu Dong; Baoxu Liu (HPCC/DSS/SmartCity/DependSys, 2021)

Trojan Traffic Detection Based on Meta-learning. - Zijian Jia; Yepeng Yao; Qiuyun Wang; Xuren Wang; Baoxu Liu; Zhengwei Jiang (ICCS (2), 2021)

Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. - Yi Chen 024; Yepeng Yao; XiaoFeng Wang 001; Dandan Xu; Chang Yue; Xiaozhong Liu; Kai Chen 012; Haixu Tang; Baoxu Liu (SP, 2021)

Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications. - Liya Su; Xinyue Shen 001; Xiangyu Du; Xiaojing Liao; XiaoFeng Wang 001; Luyi Xing; Baoxu Liu (USENIX Security Symposium, 2021)

Automated Honey Document Generation Using Genetic Algorithm. - Yun Feng 003; Baoxu Liu; Yue Zhang; Jinli Zhang; Chaoge Liu; Qixu Liu (WASA (3), 2021)

ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities. - Yu Zhang; Wei Huo; Kunpeng Jian; Ji Shi 002; Longquan Liu; Yanyan Zou; Chao Zhang 008; Baoxu Liu (Cybersecur., 2021)

MBTree: Detecting Encryption RATs Communication Using Malicious Behavior Tree. - Cong Dong; Zhigang Lu 002; Zelin Cui; Baoxu Liu; Kai Chen 012 (IEEE Trans. Inf. Forensics Secur., 2021)

The Hyperbolic Temporal Attention Based Differentiable Neural Turing Machines for Diachronic Graph Embedding in Cyber Threat Intelligence. - Binghua Song; Rong Chen; Baoxu Liu; Zhengwei Jiang; Xuren Wang (CSCWD, 2022)

Time Series Attention Based Transformer Neural Turing Machines for Diachronic Graph Embedding in Cyber Threat Intelligence. - Binghua Song; Rong Chen; Baoxu Liu; Zhengwei Jiang; Xuren Wang (ICCS (4), 2022)

ModX: Binary Level Partially Imported Third-Party Library Detection via Program Modularization and Semantic Matching. - Can Yang; Zhengzi Xu; Hongxu Chen 001; Yang Liu 003; Xiaorui Gong; Baoxu Liu (ICSE, 2022)

BASNEA: Threat Hunting for Ethereum Smart Contract Based on Backtrackless Aligned-Spatial Network Entity Alignment. - Xiangyu Du; Zhengwei Jiang; Jun Jiang; Kai Zhang; Zijing Fan; Fangming Dong; Ning Li; Baoxu Liu (SciSec, 2022)

Malware detection method based on image analysis and generative adversarial networks. - Yanhua Liu; Jiaqi Li; Baoxu Liu; Xiaoling Gao; Ximeng Liu (Concurr. Comput. Pract. Exp., 2022)

Modx: Binary Level Partial Imported Third-Party Library Detection through Program Modularization and Semantic Matching. - Can Yang; Zhengzi Xu; Hongxu Chen 001; Yang Liu 003; Xiaorui Gong; Baoxu Liu (CoRR, 2022)

Blockchain abnormal behavior awareness methods: a survey. - Chuyi Yan; Chen Zhang; Zhigang Lu 002; Zehui Wang; Yuling Liu; Baoxu Liu (Cybersecur., 2022)

TIM: threat context-enhanced TTP intelligence mining on unstructured threat data. - Yizhe You; Jun Jiang; Zhengwei Jiang; Peian Yang; Baoxu Liu; Huamin Feng; Xuren Wang; Ning Li (Cybersecur., 2022)

NDFuzz: a non-intrusive coverage-guided fuzzing framework for virtualized network devices. - Yu Zhang; Nanyu Zhong; Wei You 001; Yanyan Zou; Kunpeng Jian; Jiahuan Xu; Jian Sun; Baoxu Liu; Wei Huo (Cybersecur., 2022)

Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning. - Yi Chen 024; Di Tang 001; Yepeng Yao; Mingming Zha 001; XiaoFeng Wang 001; Xiaozhong Liu; Haixu Tang; Baoxu Liu (USENIX Security Symposium, 2023)

AppChainer: investigating the chainability among payloads in android applications. - Xiaobo Xiang; Yue Jiang; Qingli Guo; Xiu Zhang; Xiaorui Gong; Baoxu Liu (Cybersecur., 2023)

UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning. - Liangchen Chen; Shu Gao; Baoxu Liu; Xu-Yao Zhang (ICPR (5), 2024)

ENS-RFMC: An Encrypted Network Traffic Sampling Method Based on Rule-Based Feature Extraction and Multi-hierarchical Clustering for Intrusion Detection. - Liangchen Chen; Shu Gao; Zi-Xuan Wei; Baoxu Liu; Xu-Yao Zhang (ICPR (24), 2024)

TAD-LLM: API Traffic Anomaly Detection Based on Large Language Model. - Yue Zhang; Baoxu Liu; Jingqiang Liu; Fangjiao Zhang; Yuling Liu; Qixu Liu (MSN, 2024)

ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning. - Xueying Han; Susu Cui; Jian Qin; Song Liu; Bo Jiang 013; Cong Dong; Zhigang Lu 002; Baoxu Liu (WWW, 2024)

A survey of large language models for cyber threat detection. - Yiren Chen; Mengjiao Cui; Ding Wang; Yiyang Cao; Peian Yang; Bo Jiang 013; Zhigang Lu 002; Baoxu Liu (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 006; Yun Li; Bo Jiang 013; Baoxu Liu; Zhigang Lu 002 (CoRR, 2024)

Winemaking: Extracting Essential Insights for Efficient Threat Detection in Audit Logs. - Weiheng Wu; Wei Qiao; Wenhao Yan; Bo Jiang 013; Yuling Liu; Baoxu Liu; Zhigang Lu 002; Junrong Liu (CoRR, 2024)

ECNet: Robust Malicious Network Traffic Detection With Multi-View Feature and Confidence Mechanism. - Xueying Han; Song Liu; Junrong Liu; Bo Jiang 013; Zhigang Lu 002; Baoxu Liu (IEEE Trans. Inf. Forensics Secur., 2024)

DAB-LLM: Detection of Anomalies in API Call Behavior Based on Large Language Model. - Yue Zhang; Fangjiao Zhang; Baihang Liu; Baoxu Liu; Yuling Liu; Qixu Liu (CSCWD, 2025)

Joint Spatial-Temporal Representation for Host Intrusion Detection System. - Hao Li; Zehui Wang; Shang Shang; Zhengwei Jiang; Qiuyun Wang; Fangli Ren; Baoxu Liu (ICCS (3), 2025)

Brewing Vodka: Distilling Pure Knowledge for Lightweight Threat Detection in Audit Logs. - Weiheng Wu; Wei Qiao; Wenhao Yan; Bo Jiang 013; Yuling Liu; Baoxu Liu; Zhigang Lu 002; Junrong Liu (WWW, 2025)

FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification Under Environment Shifts. - Susu Cui; Xueying Han; Dongqi Han; Zhiliang Wang; Weihang Wang 006; Bo Jiang 013; Baoxu Liu; Zhigang Lu 002 (IEEE Trans. Inf. Forensics Secur., 2025)

Instantiating Standards: Enabling Standard-Driven Text TTP Extraction with Evolvable Memory. - Cheng Meng; Zhengwei Jiang; QiuYun Wang; XinYi Li; Chunyan Ma; Fangming Dong; FangLi Ren; Baoxu Liu (CoRR, 2025)