AttackMiner: A Graph Neural Network Based Approach for Attack Detection from Audit Logs

Yuedong Pan, Lijun Cai, Tao Leng, Lixin Zhao, Jiangang Ma, Aimin Yu, Dan Meng. AttackMiner: A Graph Neural Network Based Approach for Attack Detection from Audit Logs. In FengJun Li, Kaitai Liang, Zhiqiang Lin, Sokratis K. Katsikas, editors, Security and Privacy in Communication Networks - 18th EAI International Conference, SecureComm 2022, Virtual Event, October 2022, Proceedings. Volume 462 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 510-528, Springer, 2022. [doi]

@inproceedings{PanCLZMYM22,
  title = {AttackMiner: A Graph Neural Network Based Approach for Attack Detection from Audit Logs},
  author = {Yuedong Pan and Lijun Cai and Tao Leng and Lixin Zhao and Jiangang Ma and Aimin Yu and Dan Meng},
  year = {2022},
  doi = {10.1007/978-3-031-25538-0_27},
  url = {https://doi.org/10.1007/978-3-031-25538-0_27},
  researchr = {https://researchr.org/publication/PanCLZMYM22},
  cites = {0},
  citedby = {0},
  pages = {510-528},
  booktitle = {Security and Privacy in Communication Networks - 18th EAI International Conference, SecureComm 2022, Virtual Event, October 2022, Proceedings},
  editor = {FengJun Li and Kaitai Liang and Zhiqiang Lin and Sokratis K. Katsikas},
  volume = {462},
  series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  publisher = {Springer},
  isbn = {978-3-031-25538-0},
}