Name: Wang Yong
Discipline: Cyberspace Security
Title: Associate Professor
Contact number:
E-mail: wangyong@bit.edu.cn
Address: Room 415, Software Building, Beijing Institute of Technology Personal Information
Wang Yong is associate professor and master tutor of School of Computer Science, Beijing Institute of Technology. He received his Ph.D. degree in computer application technology from Beijing Institute of Technology in 2003. 2004-2005 Visiting Scholar at Trinity College, Ireland. Since April 2003, he has been engaged in teaching and research in Beijing Institute of Technology. His research interests include AI-based software security, blockchain, and federated learning. It has undertaken 6 national key research and development projects, National Natural Science Foundation projects, and other provincial and ministerial projects, and has published more than 30 academic papers in well-known international journals and conferences, published 3 translated textbooks, applied for more than 20 national invention patents, and written and publicly implemented 1 group standard.

Research Direction
Ai-based software analysis and APT Attack Detection
Big Data Security Sharing based on blockchain
Federated learning

Personal Information
Wang Yong is associate professor and master tutor of School of Computer Science, Beijing Institute of Technology. He received his Ph.D. degree in computer application technology from Beijing Institute of Technology in 2003. 2004-2005 Visiting Scholar at Trinity College, Ireland. Since April 2003, he has been engaged in teaching and research in Beijing Institute of Technology. His research interests include AI-based software security, blockchain, and federated learning. It has undertaken 6 national key research and development projects, National Natural Science Foundation projects, and other provincial and ministerial projects, and has published more than 30 academic papers in well-known international journals and conferences, published 3 translated textbooks, applied for more than 20 national invention patents, and written and publicly implemented 1 group standard.

Personal Information
Wang Yong is associate professor and master tutor of School of Computer Science, Beijing Institute of Technology. He received his Ph.D. degree in computer application technology from Beijing Institute of Technology in 2003. 2004-2005 Visiting Scholar at Trinity College, Ireland. Since April 2003, he has been engaged in teaching and research in Beijing Institute of Technology. His research interests include AI-based software security, blockchain, and federated learning. It has undertaken 6 national key research and development projects, National Natural Science Foundation projects, and other provincial and ministerial projects, and has published more than 30 academic papers in well-known international journals and conferences, published 3 translated textbooks, applied for more than 20 national invention patents, and written and publicly implemented 1 group standard.

代表性学术成果
1. APTMalInsight: Identify and Cognize APT Malware based on System Call Information and Ontology Knowledge Framework, Information Sciences, 2021.
2. WCM-WTrA: A Cross-Project Defect Prediction Method Based on Feature Selection and Distance-Weight Transfer Learning, Chinese Journal of Electronics, 2021.
3. A Survey on Adversarial Attack in the Age of Artificial Intelligence, Wireless Communications and Mobile Computing, 2021
4. Blockchain-based Reputation Evaluation Using Game Theory in Social Networking, BSCI’22, 2022.
5. Detection of malicious domains in APT via mining massive DNS logs, 3rd International Conference on Machine Learning for Cyber Security, 2020.
6. Risk Assessment model of cross site script vulnerability based on detection, Academia Journal of Scientific Research, 2020.
7. MalDAE: Detecting and Explaining Malware based on Correlation and Fusion of Static and Dynamic Characteristics, Computers & Security, 2019.
8. Review: Build a Roadmap for Stepping into the Field of Anti-Malware Research Smoothly, IEEE ACCESS, 2019
9. MalInsight: a systematic profiling based malware detection framework. Journal of Network and Computer Applications, 2018.
10. Malware Visualization for Fine-Grained Classification. IEEE Access, 2018.
11. 专利：一种面向控制流程图的跨平台二进制函数表征方法及装置，申请号：202210684915.3
12. 专利：一种分类分级健身健康大数据共享系统及方法，申请号：202111609681.8
13. 专利：基于层次聚合和区块链的联邦学习隐私保护系统及方法，申请号：202111537078.3
14. 专利：流数据高效细粒度安全共享方法，申请号：202210434874.2
15. 专利：一种基于分类错误率和一致性预测的概念漂移检测方法，申请号：202010992036.8
16. 专利：全局特征可视化与局部特征相结合的恶意代码分类方法，授权号：201810008763.9
17. 专利：一种基于系统调用控制流图的恶意代码同源性分析方法，授权号：201810912373.4
18. 专利：一种基于语义映射关联的恶意代码检测方法，授权号：201811385352.8
19. 专利：一种基于加权LDA主题模型的金融舆情感知方法，授权号：2017102692706
20. 专利：一种基于属性基加密实施核心角色访问控制的方法，授权号：201710323674.9
21. 专利：一种基于序列比对算法的勒索软件变种检测方法，授权号：201710942962.2
22. 专利：基于三位一体综合画像的恶意代码检测及恶意性定位方法，申请号：202010360371.6
23. 专利：一种针对虚函数表劫持攻击的防御方法，授权号：201510333581.5
24. 专利：由信誉评估上升到信任管理的跨域访问控制策略生成方法，授权号：201110294120.3
所获奖励
全国大学生信息安全竞赛优秀指导教师，中国，2012.
教育部-IBM奖教金，中国，2012.