Yebo Feng

Email: yebo.feng@ntu.edu.sg

I am a research fellow at the Nanyang Technological University (NTU), Singapore. I am working with Prof. Liu, Yang on computer security and privacy. Before joining NTU, I received my Ph.D. degree from the Computer Science Department at the University of Oregon (UO), where I conducted my research in the Center for Cyber Security and Privacy (CCSP).

My research interests include network security, network traffic analysis, blockchain security, decentralized finance (DeFi), DDoS defense, and machine learning for security.

I am the recipient of the Best Paper Award of 2019 IEEE CNS, Gurdeep Pall Graduate Student Fellowship of UO, and Ripple Research Fellowship. I have served as the reviewer of IEEE TDSC, IEEE TIFS, IEEE JSAC, ACM TKDD, etc. I was on the program committees of several international conferences, such as SDM, CIKM, CYBER, etc. I was also on the AE committees of USENIX OSDI and USENIX ATC.

news

Sep 12, 2023	I’m joining Singapore’s Nanyang Technological University (NTU) as a Research Fellow in November 2023. My focus will be network security and blockchain security, working alongside Professor Yang Liu.
Aug 24, 2023	I am scheduled to visit University College London (UCL) from September 4th to September 15th, 2023. My visit is being hosted by Professor Jiahua Xu.
Sep 15, 2022	2022 UBRI research highlight is released.
Sep 1, 2022	I will continue to serve as a judge for XRPL Grants (wave 4).
Jun 15, 2022	For this summer, I will be working at USC ISI as a visiting research assistant and at Ripple as a part-time researcher.

selected publications

TDSC

On Explainable and Adaptable Detection of Distributed Denial-of-Service Traffic

Yebo Feng, Jun Li, Devkishen Sisodia, and Peter Reiher

IEEE Transactions on Dependable and Secure Computing, Jul 2024

Bib HTML PDF

@article{feng2024ddosdetection,
  author = {Feng, Yebo and Li, Jun and Sisodia, Devkishen and Reiher, Peter},
  journal = {IEEE Transactions on Dependable and Secure Computing},
  title = {On Explainable and Adaptable Detection of Distributed Denial-of-Service Traffic},
  year = {2024},
  month = jul,
  volume = {21},
  number = {4},
  pages = {2211-2226},
  keywords = {Computer crime;Denial-of-service attack;Adaptation models;Telecommunication traffic;Machine learning;Training data;Principal component analysis;Anomaly detection;DDoS detection;distributed denial -of- service (DDoS);explainable machine learning;K-nearest neighbors (KNN);principal component analysis (PCA);traffic analysis},
  doi = {10.1109/TDSC.2023.3301293}
}

CSUR

SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols

Jiahua Xu, Krzysztof Paruch, Simon Cousaert, and Yebo Feng

ACM Computing Surveys, Feb 2023

Bib HTML PDF

@article{xu2023ammsok,
  author = {Xu, Jiahua and Paruch, Krzysztof and Cousaert, Simon and Feng, Yebo},
  title = {SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols},
  year = {2023},
  issue_date = {November 2023},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  volume = {55},
  number = {11},
  issn = {0360-0300},
  url = {https://doi.org/10.1145/3570639},
  doi = {10.1145/3570639},
  journal = {ACM Computing Surveys},
  month = feb,
  articleno = {238},
  numpages = {50}
}

RAID 22

CJ-Sniffer: Measurement and Content-Agnostic Detection of Cryptojacking Traffic

Yebo Feng, Jun Li, and Devkishen Sisodia

In Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), Oct 2022

Bib HTML PDF

@inproceedings{10.1145/3545948.3545973,
  author = {Feng, Yebo and Li, Jun and Sisodia, Devkishen},
  title = {CJ-Sniffer: Measurement and Content-Agnostic Detection of Cryptojacking Traffic},
  year = {2022},
  isbn = {9781450397049},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3545948.3545973},
  doi = {10.1145/3545948.3545973},
  booktitle = {Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses (RAID)},
  pages = {482–494},
  numpages = {13},
  keywords = {anomaly detection, cryptocurrency, cryptojacking, cryptomining, network traffic analysis},
  location = {Limassol, Cyprus},
  series = {RAID '22},
  month = oct
}

TDSC

Towards Learning-Based, Content-Agnostic Detection of Social Bot Traffic

Yebo Feng, Jun Li, Lei Jiao, and Xintao Wu

IEEE Transactions on Dependable and Secure Computing (TDSC), Oct 2021

Bib HTML PDF

@article{feng2021botflowmon,
  author = {Feng, Yebo and Li, Jun and Jiao, Lei and Wu, Xintao},
  journal = {IEEE Transactions on Dependable and Secure Computing (TDSC)},
  title = {Towards Learning-Based, Content-Agnostic Detection of Social Bot Traffic},
  year = {2021},
  volume = {18},
  number = {5},
  pages = {2149-2163},
  doi = {10.1109/TDSC.2020.3047399}
}

IWQoS 20

Application-Layer DDoS Defense with Reinforcement Learning

Yebo Feng, Jun Li, and Thanh Nguyen

In 2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS), Jun 2020

Bib HTML PDF

@inproceedings{feng2020appddos,
  author = {Feng, Yebo and Li, Jun and Nguyen, Thanh},
  booktitle = {2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS)},
  title = {Application-Layer {DDoS} Defense with Reinforcement Learning},
  year = {2020},
  pages = {1-10},
  doi = {10.1109/IWQoS49365.2020.9213026},
  issn = {1548-615X},
  month = jun,
  keywords = {application-layer DDoS;distributed denial of service (DDoS);reinforcement learning;anomaly detection}
}