Dr. Yongning Tang
Professor of Computer Networking
School Information Technology
Office
OU Old Union 107
Office Phone
Email
- About
- Education
- Awards & Honors
- Research
Biography
Dr. Tang is a Professor in the School of Information Technology and an award-winning researcher with expertise in cyberinfrastructure and cybersecurity.
Current Courses
IT 254.001 Hardware And Software Concepts
IT 499.002 Independent Research For The Master's Thesis
IT 287.004 Independent Study
IT 498.001 Professional Practice: Information Technology
IT 380.001 Wireless Communication Systems
IT 287.003 Independent Study
IT 287.004 Independent Study
IT 377.002 Practical Telecommunication Networking
IT 475.001 Practical Telecommunication Networking
IT 376.001 Wireless And Mobile Network Security
IT 476.001 Wireless And Mobile Network Security
Teaching Interests & Areas
Computer Networking; Cybersecurity; Machine Learning; Programming
Research Interests & Areas
Network Security; Data Privacy; IoT; Blockchain; Artificial Intelligence;
Ph D Computer Science
DePaul University
Chicago, IL
Outstanding Faculty Researcher Award
CAST
2024
Runner-Up: International Intelligent Water Systems Challenge
"Develop Advanced Models to Predict and Optimize Chemical Dosage for Odor and Corrosion Control." Water Environment Federation (WEF) & Water Research Foundation (WRF)
2019
Best Paper Award
"Prioritized Adaptive Max-Min Fair Residual Bandwidth Allocation for Software-Defined Data Center Networks". The 13th International Conference on Networks (ICN2014)
2014
Best Paper Award
"Yet Another Bounded Broadcasting for Random Key Predistribution Schemes in Wireless Sensor Networks". The 12th International Conference on Networks (ICN2013)
2013
Book, Authored
Tang, Y. Uncertainty Reasoning in Network Fault Diagnosis. VDM-Verlag (2009)
Conference Proceeding
Tang, Y., Wang, F., Hu, Z., & Li, C. BeamCovert: Spatial Covert Communication for Secure and Efficient IIoT in 5G Smart Factories. The 7th International IEEE Conference on Smart Applications, Communications and Networking (2025)
Tang, Y., Wang, F., Hu, Z., & Li, C. Fusion-Based Traffic Prediction for 5G Slicing: A Hybrid LSTM-Transformer Model. The 28th IEEE/ISIF Information Fusion conference (2025)
Adhikari, M., Wang, F., Li, C., Cheng, G., & Tang, Y. SDT: Towards a Blockchain-Based Secure Data Trading Application. 2024 IEEE International Conference on Decentralized Applications and Infrastructures. (2024)
Fuhr, J., Hanna, I., Wang, F., & Tang, Y. The Diminished Importance of Connection-based Features in Intrusion Detection. IEEE International Performance, Computing, and Communications Conference (2021)
Wang, F., Tang, Y., Gao, L., & Cheng, G. BC-Sketch: A Simple Reversible Sketch for Detecting Network Anomalies. IEEE International Conference on Smart Data Services (SMDS 2020) (2020)
Journal Article
Wang, F., & Tang, Y. Diverse Intrusion and Malware Detection: AI-Based and Non-AI-Based Solutions. JCP special issue "Intrusion, Malware Detection and Prevention in Networks". Journal of Cybersecurity and Privacy 4.2 (2024): 382-387.
Wang, F., Tang, Y., & Fang, H. Mitigating IoT Privacy-Revealing Features by Time Series Data Transformation. Journal of Cybersecurity and Privacy 3.2 (2023): 209-226.
Zhao, Y., Cheng, G., & Tang, Y. SINT: Towards a Blockchain-based Secure In-band Network Telemetry Architecture. IEEE Transaction on Information Forensics and Security (2023)
Fuhr , J., Wang, F., & Tang, Y. MoCA: A Network Intrusion Monitoring and Classification System. Journal of Cybersecurity and Privacy (2022)
Wang, F., Babulak, E., & Tang, Y. On Detecting and Identifying Faulty IoT Devices and Outages. Bulletin of Electrical Engineering and Informatics 9 (2021)
Presentations
Fusion-Based Traffic Prediction for 5G Slicing. The 28th IEEE/ISIF Information Fusion conference. IEEE/ISIF. (2025)
Deep Learning Based Malware Detection - Gaps, Challenges, and Future Research Directions. Research seminar of Southeast University. Southeast University. (2024)
SDT: Towards a Blockchain-Based Secure Data Trading Application. 2024 IEEE International Conference on Decentralized Applications and Infrastructures. IEEE. (2024)
BC-Sketch: A Sketch for Detecting Network Flow Anomalies. IEEE International Conference on Smart Data Services (SMDS 2020).. IEEE. (2020)
IWS and Machine Learning. IWEA LIFT Virtual Innovative Technologies Webinar. Illinois Water Environment Association. (2020)
IWS and Machine Learning. WEF LIFT IWS Challenge Webinar. Water Environment Foundation. (2020)
Develop Advanced Models to Predict and Optimize Chemical Dosage for Odor and Corrosion Control. the WEFTEC 2019 Intelligent Water Systems Challenge. (2019)
Identifying Symptom-Fault Causality in SDN. College of Computer Engineering, Southeast University. (2015)
Network Verification & Fault Diagnosis in SDN. University of Science and Technology of China. (2015)
Tackling Network Resource Management in SDN (2013)
Grants & Contracts
NSF CC* Networking Infrastructure: “Building a Scalable and Polymorphic Cyberinfrastructure for Diverse Research and Education Needs at Illinois State University”. National Science Foundation (NSF). Federal. (2024)
NSF CC*: Fostering Data Driven STEM Research and Education Through Cyberinfrastructure at Illinois State University. National Science Foundation (NSF). Federal. (2022)
OSF Healthcare System IIN Grant: “The Design, Development, and Deployment of a Mobile-based Child Vaccination Program for Underserved Communities in Illinois Using Novel Digital Analytics and AI Tools.”. Illinois Innovation Network. State. (2022)
ISU University Cross-Disciplinary Research Grant: "Curriculum-aware Learning Recommender System for Higher Education.". Multidisciplinary Research Grant. Illinois State University. (2016)
ISU University Research Grant: "Reasoning under Uncertainty for Internet Fault Diagnosis". University Research Grant. Illinois State University. (2008)