About Yebo

I am a third-year Ph.D. student of Professor Jun Li in the Center for Cyber Security and Privacy, University of Oregon. Currently, my research topics include computer security & privacy, machine learning and data analysis, and anomaly & intrusion detection. I received my B.E. degree in Computer Science and Technology at Yangzhou University in 2016. After that, I got M.S. degree in Computer Science at University of Oregon in 2018.


POSTER: Content-Agnostic Identification of Cryptojacking in Network Traffic (Poster)
Yebo Feng, Devkishen Sisodia, Jun Li
The 15th ACM ASIA Conference on Computer and Communications Security (ASIACCS 2020), Virtual Conference, October 2020
DOI: 10.1145/3320269.3405440
Paper Slides Video Bib
Toward Explainable and Adaptable Detection and Classification of Distributed Denial-of-Service Attacks
Yebo Feng, Jun Li
The First KDD Workshop on Deployable Machine Learning for Security Defense (KDD MLHat 2020), Virtual Conference, August 2020
DOI: 10.1007/978-3-030-59621-7_6
Paper Slides Video Bib
Application-Layer DDoS Defense with Reinforcement Learning
Yebo Feng, Jun Li, Thanh Nguyen
IEEE/ACM 28th International Symposium on Quality of Service (IWQoS 2020), Virtual Conference, June 2020
DOI: 10.1109/IWQoS49365.2020.9213026
Paper Slides Video Bib
Towards Explicable and Adaptive DDoS Traffic Classification (Poster)
Yebo Feng, Jun Li
The 21st Passive and Active Measurement Conference (PAM 2020), Virtual Conference, March 2020
URL: Accepted Posters
Paper Slides Video Bib
Towards Intelligent Defense against Application-Layer DDoS with Reinforcement Learning
Yebo Feng
Directed Research Project Report, Dec 2019
Department of Computer and Information Science, University of Oregon
Paper Bib
BotFlowMon: Learning-Based, Content-Agnostic Identification of Social Bot Traffic Flows
Yebo Feng, Jun Li, Lei Jiao, Xintao Wu
IEEE 7th Conference on Communications and Network Security (CNS 2019), Washington DC, June 2019
DOI: 10.1109/CNS.2019.8802706
Best Paper Award
Paper Slides Bib
BotFlowMon: Identify Social Bot Traffic with NetFlow and Machine Learning
Yebo Feng
Scholars' Bank - University of Oregon, Master Thesis, 2018
URL: https://scholarsbank.uoregon.edu/xmlui/handle/1794/23799
Paper Bib

Honors and Awards

  • Ripple Graduate Fellowship, Ripple Labs, Inc. (2020 - 2021)
  • KDD 2020 Student Registration Award, National Science Foundation (August 2020)
  • Ripple Graduate Fellowship, Ripple Labs, Inc. (2019 - 2020)
  • 2019 Gurdeep Pall Graduate Student Fellowship, University of Oregon (June 2019)
  • 2019 IEEE CNS Best Paper Award, IEEE ComSoc (June 2019)
  • 2019 IEEE CNS Student Travel Grant, IEEE ComSoc (June 2019)
  • Second-Class Chancellor's Scholarship, Yangzhou University (2014 - 2015)
  • Professional Services

  • Reviewer - IEEE Transactions on Dependable and Secure Computing (TDSC)
  • Reviewer - ACM Transactions on Knowledge Discovery from Data (TKDD)
  • Reviewer - IEEE Journal on Selected Areas in Communications (JSAC)
  • Technical program committee member - International Conference on Cyber-Technologies and Cyber-Systems (CYBER), 2020
  • Technical program committee member - International Conference on Emerging Security Information, Systems and Technologies (SECURWARE), 2020