References

2024

  1. Oakland
    FLASH: A Comprehensive Approach to Intrusion Detection via Provenance Graph Representation Learning
    Mati Ur Rehman, Hadi Ahmadi, and Wajih Ul Hassan
    In IEEE Symposium on Security and Privacy (S&P), 2024

2020

  1. NDSS
    You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.
    Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, and 3 more authors
    In Symposium on Network and Distributed System Security (NDSS), 2020
  2. Oakland
    Tactical Provenance Analysis for Endpoint Detection and Response Systems
    Wajih Ul Hassan, Adam Bates, and Daniel Marino
    In IEEE Symposium on Security and Privacy (S&P), 2020

2019

  1. Oakland
    Can data provenance put an end to the data breach?
    Adam Bates, and Wajih Ul Hassan
    IEEE Symposium on Security and Privacy (S&P), 2019