publications

2024

2024

1. ISSTA 24

   DeFort: Automatic Detection and Analysis of Price Manipulation Attacks in DeFi Applications

   Maoyi Xie, Ming Hu, Ziqiao Kong, Cen Zhang, Yebo Feng, Haijun Wang, Yue Xue, Hao Zhang, Ye Liu, and Yang Liu

   In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), Sep 2024

   Bib

   @inproceedings{xie2024defort,
     author = {Xie, Maoyi and Hu, Ming and Kong, Ziqiao and Zhang, Cen and Feng, Yebo and Wang, Haijun and Xue, Yue and Zhang, Hao and Liu, Ye and Liu, Yang},
     booktitle = {Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)},
     title = {DeFort: Automatic Detection and Analysis of Price Manipulation Attacks in DeFi Applications},
     month = sep,
     year = {2024}
   }

2. ASIACCS 24

   SecPLF: Secure Protocols for Loanable Funds against Oracle Manipulation Attacks

   Sanidhay Arora, Yingjiu Li, Yebo Feng, and Jiahua Xu

   In Proceedings of the 19th ACM Asia Conference on Computer and Communications Security (ASIACCS 2024), Jul 2024

   Bib

   @inproceedings{arora2024secplf,
     author = {Arora, Sanidhay and Li, Yingjiu and Feng, Yebo and Xu, Jiahua},
     booktitle = {Proceedings of the 19th ACM Asia Conference on Computer and Communications Security (ASIACCS 2024)},
     title = {SecPLF: Secure Protocols for Loanable Funds against Oracle Manipulation Attacks},
     month = jul,
     year = {2024}
   }

3. arXiv

   Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation

   Chong Wang, Jian Zhang, Yebo Feng, Tianlin Li, Weisong Sun, Yang Liu, and Xin Peng

   Jan 2024

   Bib HTML PDF

   @misc{wang2024teaching,
     doi = {10.48550/arXiv.2401.06391},
     url = {https://arxiv.org/abs/2401.06391},
     title = {Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation},
     author = {Wang, Chong and Zhang, Jian and Feng, Yebo and Li, Tianlin and Sun, Weisong and Liu, Yang and Peng, Xin},
     year = {2024},
     month = jan,
     eprint = {2401.06391},
     archiveprefix = {arXiv},
     primaryclass = {cs.SE}
   }

2023

2023

1. arXiv

   Automated Market Maker on the XRP Ledger

   Firas Dahi, Walter Hernandez, Yebo Feng, Jiahua Xu, Aanchal Malhotra, and Paolo Tasca

   Dec 2023

   Bib HTML PDF

   @misc{dahi2023automated,
     doi = {10.48550/arXiv.2312.13749},
     url = {https://arxiv.org/abs/2312.13749},
     title = {Automated Market Maker on the XRP Ledger},
     author = {Dahi, Firas and Hernandez, Walter and Feng, Yebo and Xu, Jiahua and Malhotra, Aanchal and Tasca, Paolo},
     year = {2023},
     month = dec,
     eprint = {2312.13749},
     archiveprefix = {arXiv},
     primaryclass = {cs.CE}
   }

2. SCIS

   CToMP: A Cycle-task-oriented Memory Protection Scheme for Unmanned Systems

   Chengyan Ma, Ning Xi, Di Lu, Yebo Feng, and Jianfeng Ma

   SCIENCE CHINA Information Sciences (SCIS), Dec 2023

   Bib HTML PDF

   @article{ma2023ctomp,
     title = {CToMP: A Cycle-task-oriented Memory Protection Scheme for Unmanned Systems},
     author = {Ma, Chengyan and Xi, Ning and Lu, Di and Feng, Yebo and Ma, Jianfeng},
     journal = {SCIENCE CHINA Information Sciences (SCIS)},
     year = {2023},
     doi = {10.1007/s11432-023-3865-0}
   }

3. CNS 23

   Toward Adaptive DDoS-Filtering Rule Generation

   Jun Li, Devkishen Sisodia, Yebo Feng, Lumin Shi, Mingwei Zhang, Christopher Early, and Peter Reiher

   In 2023 IEEE Conference on Communications and Network Security (CNS), Oct 2023

   Bib HTML PDF

   @inproceedings{li2023drawbridge,
     author = {Li, Jun and Sisodia, Devkishen and Feng, Yebo and Shi, Lumin and Zhang, Mingwei and Early, Christopher and Reiher, Peter},
     booktitle = {2023 IEEE Conference on Communications and Network Security (CNS)},
     title = {Toward Adaptive DDoS-Filtering Rule Generation},
     month = oct,
     year = {2023},
     volume = {},
     number = {},
     pages = {1-9},
     doi = {10.1109/CNS59707.2023.10288699}
   }

4. 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 (TDSC), Oct 2023

   Bib HTML PDF

   @article{feng2023ddosdetection,
     author = {Feng, Yebo and Li, Jun and Sisodia, Devkishen and Reiher, Peter},
     journal = {IEEE Transactions on Dependable and Secure Computing (TDSC)},
     title = {On Explainable and Adaptable Detection of Distributed Denial-of-Service Traffic},
     pages = {1-16},
     year = {2023},
     doi = {10.1109/TDSC.2023.3301293}
   }

5. arXiv

   SoK: Design, Vulnerabilities, and Security Measures of Cryptocurrency Wallets

   Yimika Erinle, Yathin Kethepalli, Yebo Feng, and Jiahua Xu

   Aug 2023

   Bib HTML PDF

   @misc{erinle2023sok,
     doi = {10.48550/arXiv.2307.12874},
     url = {https://arxiv.org/abs/2307.12874},
     title = {SoK: Design, Vulnerabilities, and Security Measures of Cryptocurrency Wallets},
     author = {Erinle, Yimika and Kethepalli, Yathin and Feng, Yebo and Xu, Jiahua},
     year = {2023},
     month = aug,
     publisher = {arXiv},
     eprint = {2307.12874}
   }

6. PhD Dissertation

   Fine-Grained, Content-Agnostic Network Traffic Analysis for Malicious Activity Detection

   Yebo Feng

   University of Oregon, Jun 2023

   PhD Dissertation

   Bib HTML PDF

   @phdthesis{feng2023fine,
     title = {Fine-Grained, Content-Agnostic Network Traffic Analysis for Malicious Activity Detection},
     author = {Feng, Yebo},
     year = {2023},
     month = jun,
     school = {University of Oregon},
     note = {PhD Dissertation}
   }

7. RG Preprints

   Unmasking the Internet: A Survey of Fine-Grained Network Traffic Analysis

   Yebo Feng, Jun Li, and Jelena Mirkovic

   Mar 2023

   Bib HTML PDF

   @misc{feng2023fgta,
     doi = {10.13140/RG.2.2.36632.88325},
     url = {http://dx.doi.org/10.13140/RG.2.2.36632.88325},
     author = {Feng, Yebo and Li, Jun and Mirkovic, Jelena},
     title = {Unmasking the Internet: A Survey of Fine-Grained Network Traffic Analysis},
     publisher = {ResearchGate Preprints},
     month = mar,
     year = {2023}
   }

8. TNSM

   Reap the Harvest on Blockchain: A Survey of Yield Farming Protocols

   Jiahua Xu, and Yebo Feng

   IEEE Transactions on Network and Service Management, Mar 2023

   Bib HTML PDF

   @article{yield2022xu,
     author = {Xu, Jiahua and Feng, Yebo},
     journal = {IEEE Transactions on Network and Service Management},
     title = {Reap the Harvest on Blockchain: A Survey of Yield Farming Protocols},
     year = {2023},
     volume = {20},
     number = {1},
     pages = {858-869},
     doi = {10.1109/TNSM.2022.3222815}
   }

9. 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}
   }

10. arXiv

    Auto.gov: Learning-based On-chain Governance for Decentralized Finance (DeFi)

    Jiahua Xu, Daniel Perez, Yebo Feng, and Benjamin Livshits

    Feb 2023

    Bib HTML PDF

    @misc{xu2023autogov,
      doi = {10.48550/ARXIV.2302.09551},
      url = {https://arxiv.org/abs/2302.09551},
      author = {Xu, Jiahua and Perez, Daniel and Feng, Yebo and Livshits, Benjamin},
      title = {Auto.gov: Learning-based On-chain Governance for Decentralized Finance (DeFi)},
      publisher = {arXiv},
      month = feb,
      year = {2023},
      copyright = {arXiv.org perpetual, non-exclusive license}
    }

2022

2022

1. 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
   }

2. GLOBECOM 22

   I Can Still Observe You: Flow-level Behavior Fingerprinting for Online Social Network

   Yebo Feng, Jianzhen Luo, Chengyan Ma, Teng Li, and Liang Hui

   In 2022 IEEE Global Communications Conference, Dec 2022

   Bib HTML PDF

   @inproceedings{feng2022osnfp,
     author = {Feng, Yebo and Luo, Jianzhen and Ma, Chengyan and Li, Teng and Hui, Liang},
     booktitle = {2022 IEEE Global Communications Conference},
     title = {I Can Still Observe You: Flow-level Behavior Fingerprinting for Online Social Network},
     year = {2022},
     month = dec,
     volume = {},
     number = {},
     pages = {6427-6432},
     doi = {10.1109/GLOBECOM48099.2022.10001510}
   }

3. Potentials

   University Blockchain Research Initiative (UBRI): Boosting blockchain education and research

   Yebo Feng, Jiahua Xu, and Lauren Weymouth

   IEEE Potentials, Dec 2022

   Bib HTML PDF

   @article{feng2022ubri,
     author = {Feng, Yebo and Xu, Jiahua and Weymouth, Lauren},
     journal = {IEEE Potentials},
     title = {University Blockchain Research Initiative (UBRI): Boosting blockchain education and research},
     year = {2022},
     volume = {41},
     number = {6},
     pages = {19-25},
     doi = {10.1109/MPOT.2022.3198929}
   }

4. JSAC

   CoAvoid: Secure, Privacy-Preserved Tracing of Contacts for Infectious Diseases

   Teng Li, Siwei Yin, Runze Yu, Yebo Feng, Lei Jiao, Yulong Shen, and Jianfeng Ma

   IEEE Journal on Selected Areas in Communications, Dec 2022

   Bib HTML PDF

   @article{9908579,
     author = {Li, Teng and Yin, Siwei and Yu, Runze and Feng, Yebo and Jiao, Lei and Shen, Yulong and Ma, Jianfeng},
     journal = {IEEE Journal on Selected Areas in Communications},
     title = {{CoAvoid}: Secure, Privacy-Preserved Tracing of Contacts for Infectious Diseases},
     year = {2022},
     volume = {40},
     number = {11},
     pages = {3191-3206},
     doi = {10.1109/JSAC.2022.3211547}
   }

5. arXiv

   Measuring Changes in Regional Network Traffic Due to COVID-19 Stay-at-Home Measures

   Jelena Mirkovic, Yebo Feng, and Jun Li

   Mar 2022

   Bib HTML PDF

   @misc{mirkovic2022measuring,
     doi = {10.48550/ARXIV.2203.00742},
     url = {https://arxiv.org/abs/2203.00742},
     author = {Mirkovic, Jelena and Feng, Yebo and Li, Jun},
     keywords = {Networking and Internet Architecture (cs.NI), Computers and Society (cs.CY), FOS: Computer and information sciences, FOS: Computer and information sciences},
     title = {Measuring Changes in Regional Network Traffic Due to COVID-19 Stay-at-Home Measures},
     publisher = {arXiv},
     year = {2022},
     month = mar,
     copyright = {arXiv.org perpetual, non-exclusive license}
   }

6. UO CS Report

   Toward Finer Granularity Analysis of Network Traffic

   Yebo Feng

   Mar 2022

   Available at \urlhttps://www.cs.uoregon.edu/Reports/AREA-202203-Feng.pdf

   Bib HTML PDF

   @techreport{AREA-202203-Feng,
     type = {Area Exam},
     author = {Feng, Yebo},
     title = {Toward Finer Granularity Analysis of Network Traffic},
     school = {College of Arts and Sciences, University of Oregon},
     month = mar,
     year = {2022},
     note = {Available at \url{https://www.cs.uoregon.edu/Reports/AREA-202203-Feng.pdf}}
   }

2021

2021

1. 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), Mar 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}
   }

2020

2020

1. 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}
   }

2. KDD MLHat 20

   Toward Explainable and Adaptable Detection and Classification of Distributed Denial-of-Service Attacks

   Yebo Feng, and Jun Li

   In 2020 KDD MLHat: The First International Workshop on Deployable Machine Learning for Security Defense, Jun 2020

   Bib HTML PDF

   @inproceedings{10.1007/978-3-030-59621-7_6,
     author = {Feng, Yebo and Li, Jun},
     title = {Toward Explainable and Adaptable Detection and Classification of Distributed Denial-of-Service Attacks},
     booktitle = {2020 KDD MLHat: The First International Workshop on Deployable Machine Learning for Security Defense},
     year = {2020},
     publisher = {Springer International Publishing},
     address = {Cham},
     pages = {105--121},
     isbn = {978-3-030-59621-7}
   }

3. ASIACCS 20

   POSTER: Content-Agnostic Identification of Cryptojacking in Network Traffic

   Yebo Feng, Devkishen Sisodia, and Jun Li

   In Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIACCS 2020) - poster paper, Jun 2020

   Bib HTML PDF

   @inproceedings{feng2020crypto,
     author = {Feng, Yebo and Sisodia, Devkishen and Li, Jun},
     title = {POSTER: Content-Agnostic Identification of Cryptojacking in Network Traffic},
     year = {2020},
     isbn = {9781450367509},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3320269.3405440},
     doi = {10.1145/3320269.3405440},
     booktitle = {Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIACCS 2020) - poster paper},
     pages = {907–909},
     numpages = {3},
     keywords = {anomaly detection, network traffic classification, cryptojacking},
     location = {Taipei, Taiwan},
     series = {ASIA CCS '20}
   }

4. PAM 20

   Towards Explicable and Adaptive DDoS Traffic Classification

   Yebo Feng, and Jun Li

   The 21st Passive and Active Measurement Conference (PAM) - poster paper, Mar 2020

   Bib HTML PDF

   @article{feng2020pam,
     author = {Feng, Yebo and Li, Jun},
     title = {Towards Explicable and Adaptive {DDoS} Traffic Classification},
     journal = {The 21st Passive and Active Measurement Conference (PAM) - poster paper},
     year = {2020},
     month = mar
   }

2019

2019

1. UO CS Report

   Towards Intelligent Defense against Application-Layer DDoS with Reinforcement Learning

   Yebo Feng

   Dec 2019

   Directed Research Project

   Bib HTML PDF

   @misc{DRP-201912-Feng,
     author = {Feng, Yebo},
     title = {Towards Intelligent Defense against Application-Layer {DDoS} with Reinforcement Learning},
     note = {Directed Research Project},
     publisher = {University of Oregon, Computer and Information Sciences Department},
     address = {Eugene OR},
     month = dec,
     year = {2019},
     howpublished = {Available at \url{http://www.cs.uoregon.edu/Reports/DRP-201912-Feng.pdf} (2020/02/25)}
   }

2. CNS 19 BestPaper

   BotFlowMon: Learning-based, Content-Agnostic Identification of Social Bot Traffic Flows

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

   In 2019 IEEE Conference on Communications and Network Security (CNS), Jun 2019

   Bib HTML PDF

   @inproceedings{feng2019botflowmon,
     author = {Feng, Yebo and Li, Jun and Jiao, Lei and Wu, Xintao},
     booktitle = {2019 IEEE Conference on Communications and Network Security (CNS)},
     title = {{BotFlowMon}: Learning-based, Content-Agnostic Identification of Social Bot Traffic Flows},
     year = {2019},
     pages = {169-177},
     keywords = {online social network (OSN);OSN security;social bot;NetFlow data;OSN bot traffic;machine learning},
     doi = {10.1109/CNS.2019.8802706},
     month = jun
   }

2018

2018

1. Master Thesis

   BotFlowMon: Identify Social Bot Traffic With NetFlow and Machine Learning

   Yebo Feng

   Jun 2018

   Bib HTML PDF

   @article{feng2018botflowmon,
     title = {{BotFlowMon}: Identify Social Bot Traffic With {NetFlow} and Machine Learning},
     author = {Feng, Yebo},
     year = {2018},
     month = jun,
     publisher = {University of Oregon},
     url = {http://hdl.handle.net/1794/23799}
   }