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
499.001Independent Research For The Master's Thesis
377.002Practical Telecommunication Networking
498.001Professional Practice: Information Technology
376.001Wireless And Mobile Network Security
476.001Wireless And Mobile Network Security
276.001Data Communications
287.001Independent Study
498.001Professional Practice: Information Technology
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
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)
Tang, Y., Wu, Y., Cheng, G., & Xu, Z. Intelligence Enabled SDN Fault Localization via Programmable In-band Network Telemetry. IEEE International Conference on High Performance Switching and Routing (2019)
Pan, W., Cheng, G., & Tang, Y. WENC: HTTPS Encrypted Traffic Classification Using Weighted Ensemble Learning and Markov Chain. 16th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (2017)
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
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)
Towards A Theoretically Bounded Path Key Establishment Mechanism in Wireless Sensor Networks. Proceeding of the Eleventh International Conference on Networks. IARIA.
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)