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2020 – today
- 2024
[j14]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)- [j13]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]Liangchen Chen, Shu Gao, Zi-Xuan Wei, Baoxu Liu, Xu-Yao Zhang:
ENS-RFMC: An Encrypted Network Traffic Sampling Method Based on Rule-Based Feature Extraction and Multi-hierarchical Clustering for Intrusion Detection. ICPR (24) 2024: 78-92 - [c32]Liangchen Chen, Shu Gao, Baoxu Liu, Xu-Yao Zhang:
UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning. ICPR (5) 2024: 124-140 - [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 - [i3]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) - 2023
- [j12]Xiaobo Xiang, Yue Jiang, Qingli Guo, Xiu Zhang, Xiaorui Gong, Baoxu Liu:
AppChainer: investigating the chainability among payloads in android applications. Cybersecur. 6(1): 16 (2023) - [c30]Yi Chen, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Baoxu Liu:
Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning. USENIX Security Symposium 2023: 3529-3545 - 2022
- [j11]Yanhua Liu, Jiaqi Li, Baoxu Liu, Xiaoling Gao, Ximeng Liu:
Malware detection method based on image analysis and generative adversarial networks. Concurr. Comput. Pract. Exp. 34(22) (2022) - [j10]Yizhe You, Jun Jiang, Zhengwei Jiang, Peian Yang, Baoxu Liu, Huamin Feng, Xuren Wang, Ning Li:
TIM: threat context-enhanced TTP intelligence mining on unstructured threat data. Cybersecur. 5(1): 3 (2022) - [j9]Chuyi Yan, Chen Zhang, Zhigang Lu, Zehui Wang, Yuling Liu, Baoxu Liu:
Blockchain abnormal behavior awareness methods: a survey. Cybersecur. 5(1): 5 (2022) - [j8]Yu Zhang, Nanyu Zhong, Wei You, Yanyan Zou, Kunpeng Jian, Jiahuan Xu, Jian Sun, Baoxu Liu, Wei Huo:
NDFuzz: a non-intrusive coverage-guided fuzzing framework for virtualized network devices. Cybersecur. 5(1): 21 (2022) - [c29]Binghua Song, Rong Chen, Baoxu Liu, Zhengwei Jiang, Xuren Wang:
The Hyperbolic Temporal Attention Based Differentiable Neural Turing Machines for Diachronic Graph Embedding in Cyber Threat Intelligence. CSCWD 2022: 1353-1359 - [c28]Binghua Song, Rong Chen, Baoxu Liu, Zhengwei Jiang, Xuren Wang:
Time Series Attention Based Transformer Neural Turing Machines for Diachronic Graph Embedding in Cyber Threat Intelligence. ICCS (4) 2022: 17-30 - [c27]Can Yang, Zhengzi Xu, Hongxu Chen, Yang Liu, Xiaorui Gong, Baoxu Liu:
ModX: Binary Level Partially Imported Third-Party Library Detection via Program Modularization and Semantic Matching. ICSE 2022: 1393-1405 - [c26]Xiangyu Du, Zhengwei Jiang, Jun Jiang, Kai Zhang, Zijing Fan, Fangming Dong, Ning Li, Baoxu Liu:
BASNEA: Threat Hunting for Ethereum Smart Contract Based on Backtrackless Aligned-Spatial Network Entity Alignment. SciSec 2022: 421-436 - [i2]Can Yang, Zhengzi Xu, Hongxu Chen, Yang Liu, Xiaorui Gong, Baoxu Liu:
Modx: Binary Level Partial Imported Third-Party Library Detection through Program Modularization and Semantic Matching. CoRR abs/2204.08237 (2022) - 2021
- [j7]Yu Zhang, Wei Huo, Kunpeng Jian, Ji Shi, Longquan Liu, Yanyan Zou, Chao Zhang, Baoxu Liu:
ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities. Cybersecur. 4(1): 24 (2021) - [j6]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) - [c25]Xiaobo Xiang, Ren Zhang, Hanxiang Wen, Xiaorui Gong, Baoxu Liu:
Ghost in the Binder: Binder Transaction Redirection Attacks in Android System Services. CCS 2021: 1581-1597 - [c24]Xiong Ding, Baoxu Liu, Zhengwei Jiang, Qiuyun Wang, Liling Xin:
Spear Phishing Emails Detection Based on Machine Learning. CSCWD 2021: 354-359 - [c23]Xingran Hao, Zhengwei Jiang, Qingsai Xiao, Qiuyun Wang, Yepeng Yao, Baoxu Liu, Jian Liu:
Producing More with Less: A GAN-based Network Attack Detection Approach for Imbalanced Data. CSCWD 2021: 384-390 - [c22]Bo Bai, Yun Feng, Baoxu Liu, Xutong Wang, Jiaxi Liu, Qingyue Liu, Qixu Liu, Shuang Zhao:
APT Behaviors Detection Based on Email Business Scenarios. DSC 2021: 171-178 - [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]Zijian Jia, Yepeng Yao, Qiuyun Wang, Xuren Wang, Baoxu Liu, Zhengwei Jiang:
Trojan Traffic Detection Based on Meta-learning. ICCS (2) 2021: 167-180 - [c19]Yi Chen, Yepeng Yao, XiaoFeng Wang, Dandan Xu, Chang Yue, Xiaozhong Liu, Kai Chen, Haixu Tang, Baoxu Liu:
Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. SP 2021: 1197-1214 - [c18]Liya Su, Xinyue Shen, Xiangyu Du, Xiaojing Liao, XiaoFeng Wang, Luyi Xing, Baoxu Liu:
Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications. USENIX Security Symposium 2021: 1307-1324 - [c17]Yun Feng, Baoxu Liu, Yue Zhang, Jinli Zhang, Chaoge Liu, Qixu Liu:
Automated Honey Document Generation Using Genetic Algorithm. WASA (3) 2021: 20-28 - 2020
- [j5]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) - [j4]Xianwei Gao, Changzhen Hu, Chun Shan, Baoxu Liu, Zequn Niu, Hui Xie:
Malware classification for the cloud via semi-supervised transfer learning. J. Inf. Secur. Appl. 55: 102661 (2020) - [j3]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) - [c16]Can Yang, Jian Liu, Mengxia Luo, Xiaorui Gong, Baoxu Liu:
RouAlign: Cross-Version Function Alignment and Routine Recovery with Graphlet Edge Embedding. SEC 2020: 155-170 - [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
- [j2]Tianlei Zang, Shibin Gao, Baoxu Liu, Tao Huang, Tao Wang, Xiaoguang Wei:
Integrated fault propagation model based vulnerability assessment of the electrical cyber-physical system under cyber attacks. Reliab. Eng. Syst. Saf. 189: 232-241 (2019) - [c15]Yu Zhang, Wei Huo, Kunpeng Jian, Ji Shi, Haoliang Lu, Longquan Liu, Chen Wang, Dandan Sun, Chao Zhang, Baoxu Liu:
SRFuzzer: an automatic fuzzing framework for physical SOHO router devices to discover multi-type vulnerabilities. ACSAC 2019: 544-556 - [c14]Cong Dong, Yufan Chen, YunJian Zhang, Bo Jiang, Dongxu Han, Baoxu Liu:
An Approach for Scale Suspicious Network Events Detection. IEEE BigData 2019: 5854-5863 - [c13]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 - [c12]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 - [c11]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]Peian Yang, Yang Wu, Liya Su, Baoxu Liu:
网络空间威胁情报共享技术综述 (Overview of Threat Intelligence Sharing Technologies in Cyberspace). 计算机科学 45(6): 9-18 (2018) - [c10]Yexia Cheng, Yuejin Du, Jin Peng, Jun Fu, Baoxu Liu:
Research on Identity Authentication Method Based on Negative Logic System. CNCERT 2018: 3-15 - [c9]Yexia Cheng, Yuejin Du, Jin Peng, Jun Fu, Baoxu Liu:
Trusted Secure Accessing Protection Framework Based on Cloud-Channel-Device Cooperation. CNCERT 2018: 165-176 - [c8]Yexia Cheng, Yuejin Du, Jin Peng, Shen He, Jun Fu, Baoxu Liu:
New Security Attack and Defense Mechanisms Based on Negative Logic System and Its Applications. SciSec 2018: 172-180 - [c7]Qiang Li, Zhengwei Jiang, Zeming Yang, Baoxu Liu, Xin Wang, Yunan Zhang:
A Quality Evaluation Method of Cyber Threat Intelligence in User Perspective. TrustCom/BigDataSE 2018: 269-276 - [c6]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 - [c5]Yun Feng, Baoxu Liu, Xiang Cui, Chaoge Liu, Xuebin Kang, Junwei Su:
A Systematic Method on PDF Privacy Leakage Issues. TrustCom/BigDataSE 2018: 1020-1029 - 2017
- [c4]Xiu Zhang, Baoxu Liu, Xiaorui Gong, Zhenyu Song:
State-of-the-Art: Security Competition in Talent Education. Inscrypt 2017: 461-481 - [c3]Baoxu Liu, Zongxia Jiao:
LQR lateral-directional control law design for distributed propulsion layout flying wing. CIS/RAM 2017: 715-719 - 2016
- [c2]Qiang Li, Zeming Yang, Baoxu Liu, Zhengwei Jiang, Jian Yan:
Framework of Cyber Attack Attribution Based on Threat Intelligence. InterIoT/SaSeIoT 2016: 92-103 - 2010
- [c1]Famei He, Xuren Wang, Baoxu Liu:
Attack Detection by Rough Set Theory in Recommendation System. GrC 2010: 692-695
Coauthor Index
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last updated on 2024-12-29 21:10 CET by the dblp team
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