Publications

2024

  1. ToN ’24
    DeviceRadar: Online IoT Device Fingerprinting in ISPs Using Programmable Switches
    Ruoyu Li, Qing Li, Tao Lin, Qingsong Zou, Dan Zhao, Yucheng Huang, Gareth Tyson, Guorui Xie, and Yong Jiang
    IEEE/ACM Transactions on Networking, 2024
  2. TMC ’24
    IoTGemini: Modeling IoT Network Behaviors for Synthetic Traffic Generation
    Ruoyu Li, Qing Li, Qingsong Zou, Dan Zhao, Xiangyi Zeng, Yucheng Huang, Yong Jiang, Feng Lyu, Gaston Ormazabal, Aman Singh, and Henning Schulzrinne
    IEEE Transactions on Mobile Computing, 2024
  3. TIFS ’24
    SeIoT: Detecting Anomalous Semantics in Smart Homes via Knowledge Graph
    Ruoyu Li, Qing Li, Yucheng Huang, Qingsong Zou, Dan Zhao, Zhengxin Zhang, Yong Jiang, Fa Zhu, and Athanasios V. Vasilakos
    IEEE Transactions on Information Forensics and Security, 2024
  4. TDSC ’24
    Intelligent In-Network Attack Detection on Programmable Switches with Soterv2
    Guorui Xie, Qing Li, Chupeng Cui, Ruoyu Li, Lianbo Ma, Zhuyun Qi, and Yong Jiang
    IEEE Transactions on Dependable and Secure Computing, 2024
  5. NeurIPS ’24
    Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
    Yu Zhang*, Ruoyu Li*, Nengwu Wu, Qing Li, Xinhan Lin, Yang Hu, Tao Li, and Yong Jiang
    In Proceedings of Advances in Neural Information Processing Systems, Vancouver, Canada, Dec 2024
  6. INFOCOM ’24
    Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction
    Ruoyu Li, Qing Li, Yu Zhang, Dan Zhao, Xi Xiao, and Yong Jiang
    In Proceedings of IEEE Conference on Computer Communications, Vancouver, Canada, May 2024
  7. ICNP ’24
    Proteus: A Difficulty-aware Deep Learning Framework for Real-time Malicious Traffic Detection
    Chupeng Cui, Qing Li, Guorui Xie, Ruoyu Li, Dan Zhao, Zhenhui Yuan, and Yong Jiang
    In Proceedings of the 32nd IEEE International Conference on Network Protocols , Charleroi, Belgium, Oct 2024
  8. KDD ’24
    Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask
    Jingyu Xiao, Zhiyao Xu, Qingsong Zou, Qing Li, Dan Zhao, Dong Fang, Ruoyu Li, Wenxin Tang, Kang Li, Xudong Zuo, Penghui Hu, Yong Jiang, Zixuan Weng, and Michael R. Lyu
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, Oct 2024

2023

  1. CN ’23
    A Comprehensive Survey on DDoS Defense Systems: New Trends and Challenges
    Qing Li, He Huang, Ruoyu Li, Jianhui Lv, Zhenhui Yuan, Lianbo Ma, Yi Han, and Yong Jiang
    Computer Networks, Oct 2023
  2. NeurIPS ’23
    Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction
    Ruoyu Li, Qing Li, Yu Zhang, Dan Zhao, Yong Jiang, and Yong Yang
    In Proceedings of Advances in Neural Information Processing Systems, New Orleans, LA, USA, Dec 2023
  3. USENIX Sec ’23
    HorusEye: A Realtime IoT Malicious Traffic Detection Framework using Programmable Switches
    Yutao Dong, Qing Li, Kaidong Wu, Ruoyu Li, Dan Zhao, Gareth Tyson, Junkun Peng, Yong Jiang, Shutao Xia, and Mingwei Xu
    In Proceedings of the 32nd USENIX Security Symposium, Anaheim, CA, USA, Aug 2023
  4. UbiComp ’23
    IoTBeholder: A Privacy Snooping Attack on User Habitual Behaviors from Smart Home Wi-Fi Traffic
    Qingsong Zou, Qing Li, Ruoyu Li, Yucheng Huang, Gareth Tyson, Jingyu Xiao, and Yong Jiang
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., New York, NY, USA, Mar 2023
  5. ICNP ’23
    Dryad: Deploying Adaptive Trees on Programmable Switches for Networking Classification
    Guorui Xie, Qing Li, Jiaye Lin, Gianni Antichi, Dan Zhao, Zhenhui Yuan, Ruoyu Li, and Yong Jiang
    In Proceedings of the 31st IEEE International Conference on Network Protocols (ICNP 23) , Los Alamitos, CA, USA, Oct 2023
  6. UbiComp ’23
    I Know Your Intent: Graph-enhanced Intent-aware User Device Interaction Prediction via Contrastive Learning
    Jingyu Xiao, Qingsong Zou, Qing Li, Dan Zhao, Kang Li, Zixuan Weng, Ruoyu Li, and Yong Jiang
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., New York, NY, USA, Sep 2023

2022

  1. IoT-J ’22
    ADRIoT: An Edge-Assisted Anomaly Detection Framework Against IoT-Based Network Attacks
    Ruoyu Li, Qing Li, Jianer Zhou, and Yong Jiang
    IEEE Internet of Things Journal, Sep 2022
  2. ESORICS ’22
    IoTEnsemble: Detection of Botnet Attacks on Internet of Things
    Ruoyu Li, Qing Li, Yucheng Huang, Wenbin Zhang, Peican Zhu, and Yong Jiang
    In Proceedings of the 27th European Symposium on Research in Computer Security, Copenhagen, Denmark, Sep 2022

2018

  1. IPTCOMM ’18
    HANZO: Collaborative Network Defense for Connected Things
    Aman Singh, Shashank Murali, Lalka Rieger, Ruoyu Li, Stefan Hommes, Radu State, Gaston Ormazabal, and Henning Schulzrinne
    In Proceedings of the 11th Principles, Systems and Applications of IP Telecommunications, Chicago, Illinois, USA, Oct 2018
  2. MASS ’18
    SmartRetro: Blockchain-Based Incentives for Distributed IoT Retrospective Detection
    Bo Wu, Qi Li, Ke Xu, Ruoyu Li, and Zhuotao Liu
    In Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, Chengdu, China, Oct 2018