Website Regional Rapid Security Detection Method. - Liang He; Yong Fang 002; Liang Liu 009 (CICSyN, 2013)

Multi-agent Intrusion Detection System Using Feature Selection Approach. - Yi Gong; Yong Fang 002; Liang Liu 009; Juan Li (IIH-MSP, 2014)

A framework for privacy information protection on Android. - Peng Jia 005; Xiang He; Liang Liu 009; Binjie Gu; Yong Fang 002 (ICNC, 2015)

A New Static Detection Method of Malicious Document Based on Wavelet Package Analysis. - Binjie Gu; Yong Fang 002; Peng Jia 005; Liang Liu 009; Lei Zhang 101; Meilin Wang (IIH-MSP, 2015)

Classification of Ultra-High Resolution Orthophotos Combined with DSM Using a Dual Morphological Top Hat Profile. - Qian Zhang; Rongjun Qin; Xin Huang 002; Yong Fang 002; Liang Liu 009 (Remote. Sens., 2015)

A study on Web security incidents in China by analyzing vulnerability disclosure platforms. - Cheng Huang 003; Jiayong Liu; Yong Fang 002; Zheng Zuo (Comput. Secur., 2016)

Gossip: Automatically Identifying Malicious Domains from Mailing List Discussions. - Cheng Huang 003; Shuang Hao 001; Luca Invernizzi; Jiayong Liu; Yong Fang 002; Christopher Kruegel; Giovanni Vigna (AsiaCCS, 2017)

Webshell Detection Based on Random Forest-Gradient Boosting Decision Tree Algorithm. - Handong Cui; Delu Huang; Yong Fang 002; Liang Liu 009; Cheng Huang 003 (DSC, 2018)

DeepXSS: Cross Site Scripting Detection Based on Deep Learning. - Yong Fang 002; Yang Li; Liang Liu 009; Cheng Huang 003 (ICCAI, 2018)

Detecting Webshell Based on Random Forest with FastText. - Yong Fang 002; Yaoyao Qiu; Liang Liu 009; Cheng Huang 003 (ICCAI, 2018)

DarkHunter: A Fingerprint Recognition Model for Web Automated Scanners Based on CNN. - Yong Fang 002; Xiao Long; Liang Liu 009; Cheng Huang 003 (ICCSP, 2018)

WOVSQLI: Detection of SQL Injection Behaviors Using Word Vector and LSTM. - Yong Fang 002; Jiayi Peng; Liang Liu 009; Cheng Huang 003 (ICCSP, 2018)

Research on Malicious JavaScript Detection Technology Based on LSTM. - Yong Fang 002; Cheng Huang 003; Liang Liu 009; Min Xue (IEEE Access, 2018)

MACSPMD: 基于恶意API调用序列模式挖掘的恶意代码检测 (MACSPMD: Malicious API Call Sequential Pattern Mining Based Malware Detection). - Fengping Rong; Yong Fang 002; Zheng Zuo; Liang Liu 009 (计算机科学, 2018)

Indoor Positioning Based on Bluetooth Low-Energy Beacons Adopting Graph Optimization. - Zheng Zuo; Liang Liu 009; Lei Zhang 101; Yong Fang 002 (Sensors, 2018)

Network Attack and Defense Effectiveness Evaluation Based on Dematel Method. - Liang Liu 009; Cheng Huang 003; Yong Fang 002; Zhenxue Wang (ICAIS (3), 2019)

Against Malicious SSL/TLS Encryption: Identify Malicious Traffic Based on Random Forest. - Yong Fang 002; Yijia Xu; Cheng Huang 003; Liang Liu 009; Lei Zhang 101 (ICICT (2), 2019)

Analyzing and Identifying Data Breaches in Underground Forums. - Yong Fang 002; Yusong Guo; Cheng Huang 003; Liang Liu 009 (IEEE Access, 2019)

Phishing Email Detection Using Improved RCNN Model With Multilevel Vectors and Attention Mechanism. - Yong Fang 002; Cheng Zhang; Cheng Huang 003; Liang Liu 009; Yue Yang (IEEE Access, 2019)

Capturing the symptoms of malicious code in electronic documents by file's entropy signal combined with machine learning. - Luping Liu; Xiaohai He; Liang Liu 009; Lingbo Qing; Yong Fang 002; Jiayong Liu (Appl. Soft Comput., 2019)

RLXSS: Optimizing XSS Detection Model to Defend Against Adversarial Attacks Based on Reinforcement Learning. - Yong Fang 002; Cheng Huang 003; Yijia Xu; Yang Li (Future Internet, 2019)

Network Attack and Defense Game Theory Based on Bayes-Nash Equilibrium. - Liang Liu 009; Cheng Huang 003; Yong Fang 002; Zhenxue Wang (KSII Trans. Internet Inf. Syst., 2019)

Android Malware Familial Classification Based on DEX File Section Features. - Yong Fang 002; Yangchen Gao; Fan Jing; Lei Zhang 101 (IEEE Access, 2020)

Semi-Supervised Malware Clustering Based on the Weight of Bytecode and API. - Yong Fang 002; Wenjie Zhang; Beibei Li 002; Fan Jing; Lei Zhang 101 (IEEE Access, 2020)

A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks. - Gouheng Zhao; Peng Jia 005; Cheng Huang 003; Anmin Zhou; Yong Fang 002 (IEEE Access, 2020)

EmailDetective: An Email Authorship Identification And Verification Model. - Yong Fang 002; Yue Yang; Cheng Huang 003 (Comput. J., 2020)

Detecting malicious JavaScript code based on semantic analysis. - Yong Fang 002; Cheng Huang 003; Yu Su; Yaoyao Qiu (Comput. Secur., 2020)

SankeyVis: Visualizing active relationship from emails based on multiple dimensions and topic classification methods. - Yong Fang 002; Cuirong Zhao; Cheng Huang 003; Liang Liu 009 (Digit. Investig., 2020)

Network attack detection and visual payload labeling technology based on Seq2Seq architecture with attention mechanism. - Fan Shi; Pengcheng Zhu; Xiangyu Zhou; Bintao Yuan; Yong Fang 002 (Int. J. Distributed Sens. Networks, 2020)

No Pie in the Sky: The Digital Currency Fraud Website Detection. - Haoran Ou; Yongyan Guo; Chaoyi Huang; Zhiying Zhao; Wenbo Guo 011; Yong Fang 002; Cheng Huang 003 (ICDF2C, 2021)

CyberEyes: Cybersecurity Entity Recognition Model Based on Graph Convolutional Network. - Yong Fang 002; Yuchi Zhang; Cheng Huang 003 (Comput. J., 2021)

A communication-channel-based method for detecting deeply camouflaged malicious traffic. - Yong Fang 002; Kai Li; Rongfeng Zheng; Shan Liao; Yue Wang (Comput. Networks, 2021)

Effective method for detecting malicious PowerShell scripts based on hybrid features☆. - Yong Fang 002; Xiangyu Zhou; Cheng Huang 003 (Neurocomputing, 2021)

Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism. - Yong Fang 002; Shaoshuai Yang; Bin Zhao; Cheng Huang 003 (Inf., 2021)

Intelligent mining vulnerabilities in python code snippets. - Wenbo Guo 011; Cheng Huang 003; Weina Niu; Yong Fang 002 (J. Intell. Fuzzy Syst., 2021)

PBDT: Python Backdoor Detection Model Based on Combined Features. - Yong Fang 002; Mingyu Xie; Cheng Huang 003 (Secur. Commun. Networks, 2021)

CLETer: A Character-level Evasion Technique Against Deep Learning DGA Classifiers. - Wanping Liu; Zhoulan Zhang; Cheng Huang 003; Yong Fang 002 (EAI Endorsed Trans. Security Safety, 2021)

Cross-site Scripting Threat Intelligence Detection Based on Deep Learning. - Zhonglin Liu; Yong Fang 002; Yijia Xu (FCS, 2022)

Black-Box Adversarial Windows Malware Generation via United Puppet-based Dropper and Genetic Algorithm. - Shaohua Wang; Yong Fang 002; Yijia Xu; Yaxian Wang (HPCC/DSS/SmartCity/DependSys, 2022)

Web Attack Payload Identification and Interpretability Analysis Based on Graph Convolutional Network. - Yijia Xu; Yong Fang 002; Zhonglin Liu (MSN, 2022)

Viopolicy-Detector: An Automated Approach to Detecting GDPR Suspected Compliance Violations in Websites. - Haoran Ou; Yong Fang 002; Yongyan Guo; Wenbo Guo 011; Cheng Huang 003 (RAID, 2022)

JStrong: Malicious JavaScript detection based on code semantic representation and graph neural network. - Yong Fang 002; Chaoyi Huang; Minchuan Zeng; Zhiying Zhao; Cheng Huang 003 (Comput. Secur., 2022)

HyVulDect: A hybrid semantic vulnerability mining system based on graph neural network. - Wenbo Guo 011; Yong Fang 002; Cheng Huang 003; Haoran Ou; Chun Lin; Yongyan Guo (Comput. Secur., 2022)

GraphXSS: An efficient XSS payload detection approach based on graph convolutional network. - Zhonglin Liu; Yong Fang 002; Cheng Huang 003; Jiaxuan Han (Comput. Secur., 2022)

LMTracker: Lateral movement path detection based on heterogeneous graph embedding. - Yong Fang 002; Congshuang Wang; Zhiyang Fang; Cheng Huang 003 (Neurocomputing, 2022)

HGHAN: Hacker group identification based on heterogeneous graph attention network. - Yijia Xu; Yong Fang 002; Cheng Huang 003; Zhonglin Liu (Inf. Sci., 2022)

GCNXSS: An Attack Detection Approach for Cross-Site Scripting Based on Graph Convolutional Networks. - Hongyu Pan; Yong Fang 002; Cheng Huang 003; Wenbo Guo 011; Xuelin Wan (KSII Trans. Internet Inf. Syst., 2022)

DDIML: Explainable detection model for drive-by-download attacks. - Xiaole Liu; Cheng Huang 003; Yong Fang 002 (J. Intell. Fuzzy Syst., 2022)

Embedding vector generation based on function call graph for effective malware detection and classification. - Xiao-Wang Wu; Yan Wang; Yong Fang 002; Peng Jia 005 (Neural Comput. Appl., 2022)

An Empirical Study of Malicious Code In PyPI Ecosystem. - Wenbo Guo 011; Zhengzi Xu; Chengwei Liu; Cheng Huang 003; Yong Fang 002; Yang Liu 003 (ASE, 2023)

MFXSS: An effective XSS vulnerability detection method in JavaScript based on multi-feature model. - Zhonglin Liu; Yong Fang 002; Cheng Huang 003; Yijia Xu (Comput. Secur., 2023)

PWAGAT: Potential Web attacker detection based on graph attention network. - Yijia Xu; Yong Fang 002; Zhonglin Liu; Qiang Zhang (Neurocomputing, 2023)

Hacker group identification based on dynamic heterogeneous graph node update. - Yijia Xu; Yong Fang 002; Cheng Huang 003; Zhonglin Liu; Weipeng Cao (Appl. Soft Comput., 2024)

Few-shot graph classification on cross-site scripting attacks detection. - Hongyu Pan; Yong Fang 002; Wenbo Guo 011; Yijia Xu; Changhui Wang (Comput. Secur., 2024)

PackageIntel: Leveraging Large Language Models for Automated Intelligence Extraction in Package Ecosystems. - Wenbo Guo 011; Chengwei Liu; Limin Wang; Jiahui Wu; Zhengzi Xu; Cheng Huang 003; Yong Fang 002; Yang Liu 003 (CoRR, 2024)

Multi-target label backdoor attacks on graph neural networks. - Kaiyang Wang; Huaxin Deng; Yijia Xu; Zhonglin Liu; Yong Fang 002 (Pattern Recognit., 2024)

Graph Mining for Cybersecurity: A Survey. - Bo Yan 005; Cheng Yang 002; Chuan Shi 001; Yong Fang 002; Qi Li 002; Yanfang Ye 001; Junping Du 001 (ACM Trans. Knowl. Discov. Data, 2024)

Automatic optimization for generating adversarial malware based on prioritized evolutionary computing. - Yaochang Xu; Yong Fang 002; Yijia Xu; Zhan Wang (Appl. Soft Comput., 2025)

Unknown web attack threat detection based on large language model. - Yijia Xu; Qiang Zhang; Huaxin Deng; Zhonglin Liu; Cheng Yang 002; Yong Fang 002 (Appl. Soft Comput., 2025)

SpearBot: Leveraging large language models in a generative-critique framework for spear-phishing email generation. - Qinglin Qi; Yun Luo; Yijia Xu; Wenbo Guo 011; Yong Fang 002 (Inf. Fusion, 2025)