Pagoda: A Hybrid Approach to Enable Efficient Real-Time Provenance Based Intrusion Detection in Big Data Environments

Yulai Xie, Dan Feng 0001, Yuchong Hu, Yan Li, Staunton Sample, Darrell D. E. Long. Pagoda: A Hybrid Approach to Enable Efficient Real-Time Provenance Based Intrusion Detection in Big Data Environments. IEEE Trans. Dependable Sec. Comput., 17(6):1283-1296, 2020. [doi]

@article{XieFHLSL20,
  title = {Pagoda: A Hybrid Approach to Enable Efficient Real-Time Provenance Based Intrusion Detection in Big Data Environments},
  author = {Yulai Xie and Dan Feng 0001 and Yuchong Hu and Yan Li and Staunton Sample and Darrell D. E. Long},
  year = {2020},
  doi = {10.1109/TDSC.2018.2867595},
  url = {https://doi.org/10.1109/TDSC.2018.2867595},
  researchr = {https://researchr.org/publication/XieFHLSL20},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Dependable Sec. Comput.},
  volume = {17},
  number = {6},
  pages = {1283-1296},
}