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ORCIDYong Fang 0002
Person information
- affiliation: Sichuan University, Chengdu, China
Other persons with the same name
- Yong Fang — disambiguation page
- Yong Fang 0001
![[0000-0002-3345-8259]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3345-8259")
— Chang'an University, Xi'an, China (and 1 more) - Yong Fang 0003 — Shanghai University, Shanghai, China
- Yong Fang 0004 — Shandong University of Science and Technology, Qingdao, China
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2020 – today
- 2024
[j38]Yijia Xu, Yong Fang, Cheng Huang, Zhonglin Liu, Weipeng Cao:
Hacker group identification based on dynamic heterogeneous graph node update. Appl. Soft Comput. 158: 111587 (2024)- [j37]Hongyu Pan, Yong Fang, Wenbo Guo, Yijia Xu, Changhui Wang:
Few-shot graph classification on cross-site scripting attacks detection. Comput. Secur. 140: 103749 (2024) - [j36]Kaiyang Wang, Huaxin Deng, Yijia Xu, Zhonglin Liu, Yong Fang:
Multi-target label backdoor attacks on graph neural networks. Pattern Recognit. 152: 110449 (2024) - [j35]Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du:
Graph Mining for Cybersecurity: A Survey. ACM Trans. Knowl. Discov. Data 18(2): 47:1-47:52 (2024) - [i4]Wenbo Guo, Chengwei Liu, Limin Wang, Jiahui Wu, Zhengzi Xu, Cheng Huang, Yong Fang, Yang Liu:
PackageIntel: Leveraging Large Language Models for Automated Intelligence Extraction in Package Ecosystems. CoRR abs/2409.15049 (2024) - 2023
- [j34]Zhonglin Liu, Yong Fang, Cheng Huang, Yijia Xu:
MFXSS: An effective XSS vulnerability detection method in JavaScript based on multi-feature model. Comput. Secur. 124: 103015 (2023) - [j33]Yijia Xu, Yong Fang, Zhonglin Liu, Qiang Zhang:
PWAGAT: Potential Web attacker detection based on graph attention network. Neurocomputing 557: 126725 (2023) - [c18]Wenbo Guo, Zhengzi Xu, Chengwei Liu, Cheng Huang, Yong Fang, Yang Liu:
An Empirical Study of Malicious Code In PyPI Ecosystem. ASE 2023: 166-177 - [i3]Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du:
Graph Mining for Cybersecurity: A Survey. CoRR abs/2304.00485 (2023) - [i2]Wenbo Guo, Zhengzi Xu, Chengwei Liu, Cheng Huang, Yong Fang, Yang Liu:
An Empirical Study of Malicious Code In PyPI Ecosystem. CoRR abs/2309.11021 (2023) - 2022
- [j32]Zhonglin Liu, Yong Fang, Cheng Huang, Jiaxuan Han:
GraphXSS: An efficient XSS payload detection approach based on graph convolutional network. Comput. Secur. 114: 102597 (2022) - [j31]Yong Fang, Chaoyi Huang, Minchuan Zeng, Zhiying Zhao, Cheng Huang:
JStrong: Malicious JavaScript detection based on code semantic representation and graph neural network. Comput. Secur. 118: 102715 (2022) - [j30]Wenbo Guo, Yong Fang, Cheng Huang, Haoran Ou, Chun Lin, Yongyan Guo:
HyVulDect: A hybrid semantic vulnerability mining system based on graph neural network. Comput. Secur. 121: 102823 (2022) - [j29]Yong Fang, Congshuang Wang, Zhiyang Fang, Cheng Huang:
LMTracker: Lateral movement path detection based on heterogeneous graph embedding. Neurocomputing 474: 37-47 (2022) - [j28]Yijia Xu, Yong Fang, Cheng Huang, Zhonglin Liu:
HGHAN: Hacker group identification based on heterogeneous graph attention network. Inf. Sci. 612: 848-863 (2022) - [j27]Hongyu Pan, Yong Fang, Cheng Huang, Wenbo Guo, Xuelin Wan:
GCNXSS: An Attack Detection Approach for Cross-Site Scripting Based on Graph Convolutional Networks. KSII Trans. Internet Inf. Syst. 16(12): 4008-4023 (2022) - [j26]Xiaole Liu, Cheng Huang, Yong Fang:
DDIML: Explainable detection model for drive-by-download attacks. J. Intell. Fuzzy Syst. 43(3): 3429-3442 (2022) - [j25]Xiao-Wang Wu, Yan Wang, Yong Fang, Peng Jia:
Embedding vector generation based on function call graph for effective malware detection and classification. Neural Comput. Appl. 34(11): 8643-8656 (2022) - [c17]Zhonglin Liu, Yong Fang, Yijia Xu:
Cross-site Scripting Threat Intelligence Detection Based on Deep Learning. FCS 2022: 89-104 - [c16]Shaohua Wang, Yong Fang, Yijia Xu, Yaxian Wang:
Black-Box Adversarial Windows Malware Generation via United Puppet-based Dropper and Genetic Algorithm. HPCC/DSS/SmartCity/DependSys 2022: 653-662 - [c15]Yijia Xu, Yong Fang, Zhonglin Liu:
Web Attack Payload Identification and Interpretability Analysis Based on Graph Convolutional Network. MSN 2022: 398-407 - [c14]Haoran Ou, Yong Fang, Yongyan Guo, Wenbo Guo, Cheng Huang:
Viopolicy-Detector: An Automated Approach to Detecting GDPR Suspected Compliance Violations in Websites. RAID 2022: 409-430 - 2021
- [j24]Yong Fang, Yuchi Zhang, Cheng Huang:
CyberEyes: Cybersecurity Entity Recognition Model Based on Graph Convolutional Network. Comput. J. 64(8): 1215-1225 (2021) - [j23]Yong Fang, Kai Li, Rongfeng Zheng, Shan Liao, Yue Wang:
A communication-channel-based method for detecting deeply camouflaged malicious traffic. Comput. Networks 197: 108297 (2021) - [j22]Yong Fang, Xiangyu Zhou, Cheng Huang:
Effective method for detecting malicious PowerShell scripts based on hybrid features☆. Neurocomputing 448: 30-39 (2021) - [j21]Yong Fang, Shaoshuai Yang, Bin Zhao, Cheng Huang:
Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism. Inf. 12(4): 171 (2021) - [j20]Wenbo Guo, Cheng Huang, Weina Niu, Yong Fang:
Intelligent mining vulnerabilities in python code snippets. J. Intell. Fuzzy Syst. 41(2): 3615-3628 (2021) - [j19]Yong Fang, Mingyu Xie, Cheng Huang:
PBDT: Python Backdoor Detection Model Based on Combined Features. Secur. Commun. Networks 2021: 9923234:1-9923234:13 (2021) - [j18]Wanping Liu, Zhoulan Zhang, Cheng Huang, Yong Fang:
CLETer: A Character-level Evasion Technique Against Deep Learning DGA Classifiers. EAI Endorsed Trans. Security Safety 7(24): e5 (2021) - [c13]Haoran Ou, Yongyan Guo, Chaoyi Huang, Zhiying Zhao, Wenbo Guo, Yong Fang, Cheng Huang:
No Pie in the Sky: The Digital Currency Fraud Website Detection. ICDF2C 2021: 176-193 - 2020
- [j17]Yong Fang, Wenjie Zhang, Beibei Li, Fan Jing, Lei Zhang:
Semi-Supervised Malware Clustering Based on the Weight of Bytecode and API. IEEE Access 8: 2313-2326 (2020) - [j16]Yong Fang, Yangchen Gao, Fan Jing, Lei Zhang:
Android Malware Familial Classification Based on DEX File Section Features. IEEE Access 8: 10614-10627 (2020) - [j15]Gouheng Zhao, Peng Jia, Cheng Huang, Anmin Zhou, Yong Fang:
A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks. IEEE Access 8: 65462-65471 (2020) - [j14]Yong Fang, Yue Yang, Cheng Huang:
EmailDetective: An Email Authorship Identification And Verification Model. Comput. J. 63(11): 1775-1787 (2020) - [j13]Yong Fang, Cheng Huang, Yu Su, Yaoyao Qiu:
Detecting malicious JavaScript code based on semantic analysis. Comput. Secur. 93: 101764 (2020) - [j12]Yong Fang, Cuirong Zhao, Cheng Huang, Liang Liu:
SankeyVis: Visualizing active relationship from emails based on multiple dimensions and topic classification methods. Digit. Investig. 35: 300981 (2020) - [j11]Fan Shi, Pengcheng Zhu, Xiangyu Zhou, Bintao Yuan, Yong Fang:
Network attack detection and visual payload labeling technology based on Seq2Seq architecture with attention mechanism. Int. J. Distributed Sens. Networks 16(4) (2020)
2010 – 2019
- 2019
- [j10]Yong Fang, Yusong Guo, Cheng Huang, Liang Liu:
Analyzing and Identifying Data Breaches in Underground Forums. IEEE Access 7: 48770-48777 (2019) - [j9]Yong Fang, Cheng Zhang, Cheng Huang, Liang Liu, Yue Yang:
Phishing Email Detection Using Improved RCNN Model With Multilevel Vectors and Attention Mechanism. IEEE Access 7: 56329-56340 (2019) - [j8]Luping Liu, Xiaohai He, Liang Liu, Lingbo Qing, Yong Fang, Jiayong Liu:
Capturing the symptoms of malicious code in electronic documents by file's entropy signal combined with machine learning. Appl. Soft Comput. 82 (2019) - [j7]Yong Fang, Cheng Huang, Yijia Xu, Yang Li:
RLXSS: Optimizing XSS Detection Model to Defend Against Adversarial Attacks Based on Reinforcement Learning. Future Internet 11(8): 177 (2019) - [j6]Liang Liu, Cheng Huang, Yong Fang, Zhenxue Wang:
Network Attack and Defense Game Theory Based on Bayes-Nash Equilibrium. KSII Trans. Internet Inf. Syst. 13(10): 5260-5275 (2019) - [c12]Liang Liu, Cheng Huang, Yong Fang, Zhenxue Wang:
Network Attack and Defense Effectiveness Evaluation Based on Dematel Method. ICAIS (3) 2019: 564-575 - [c11]Yong Fang, Yijia Xu, Cheng Huang, Liang Liu, Lei Zhang:
Against Malicious SSL/TLS Encryption: Identify Malicious Traffic Based on Random Forest. ICICT (2) 2019: 99-115 - [i1]Luping Liu, Xiaohai He, Liang Liu, Lingbo Qing, Yong Fang, Jiayong Liu:
Capturing the symptoms of malicious code in electronic documents by file's entropy signal combined with Machine learning. CoRR abs/1903.10208 (2019) - 2018
- [j5]Yong Fang, Cheng Huang, Liang Liu, Min Xue:
Research on Malicious JavaScript Detection Technology Based on LSTM. IEEE Access 6: 59118-59125 (2018) - [j4]Fengping Rong, Yong Fang, Zheng Zuo, Liang Liu:
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). 计算机科学 45(5): 131-138 (2018) - [j3]Zheng Zuo, Liang Liu, Lei Zhang, Yong Fang:
Indoor Positioning Based on Bluetooth Low-Energy Beacons Adopting Graph Optimization. Sensors 18(11): 3736 (2018) - [c10]Handong Cui, Delu Huang, Yong Fang, Liang Liu, Cheng Huang:
Webshell Detection Based on Random Forest-Gradient Boosting Decision Tree Algorithm. DSC 2018: 153-160 - [c9]Yong Fang, Yang Li, Liang Liu, Cheng Huang:
DeepXSS: Cross Site Scripting Detection Based on Deep Learning. ICCAI 2018: 47-51 - [c8]Yong Fang, Yaoyao Qiu, Liang Liu, Cheng Huang:
Detecting Webshell Based on Random Forest with FastText. ICCAI 2018: 52-56 - [c7]Yong Fang, Xiao Long, Liang Liu, Cheng Huang:
DarkHunter: A Fingerprint Recognition Model for Web Automated Scanners Based on CNN. ICCSP 2018: 10-15 - [c6]Yong Fang, Jiayi Peng, Liang Liu, Cheng Huang:
WOVSQLI: Detection of SQL Injection Behaviors Using Word Vector and LSTM. ICCSP 2018: 170-174 - 2017
- [c5]Cheng Huang, Shuang Hao, Luca Invernizzi, Jiayong Liu, Yong Fang, Christopher Kruegel, Giovanni Vigna:
Gossip: Automatically Identifying Malicious Domains from Mailing List Discussions. AsiaCCS 2017: 494-505 - 2016
- [j2]Cheng Huang, Jiayong Liu, Yong Fang, Zheng Zuo:
A study on Web security incidents in China by analyzing vulnerability disclosure platforms. Comput. Secur. 58: 47-62 (2016) - 2015
- [j1]Qian Zhang, Rongjun Qin, Xin Huang, Yong Fang, Liang Liu:
Classification of Ultra-High Resolution Orthophotos Combined with DSM Using a Dual Morphological Top Hat Profile. Remote. Sens. 7(12): 16422-16440 (2015) - [c4]Peng Jia, Xiang He, Liang Liu, Binjie Gu, Yong Fang:
A framework for privacy information protection on Android. ICNC 2015: 1127-1131 - [c3]Binjie Gu, Yong Fang, Peng Jia, Liang Liu, Lei Zhang, Meilin Wang:
A New Static Detection Method of Malicious Document Based on Wavelet Package Analysis. IIH-MSP 2015: 333-336 - 2014
- [c2]Yi Gong, Yong Fang, Liang Liu, Juan Li:
Multi-agent Intrusion Detection System Using Feature Selection Approach. IIH-MSP 2014: 528-531 - 2013
- [c1]Liang He, Yong Fang, Liang Liu:
Website Regional Rapid Security Detection Method. CICSyN 2013: 185-190
Coauthor Index
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last updated on 2024-12-11 21:38 CET by the dblp team
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