Performance Evaluation of Container-Level Anomaly-Based Intrusion Detection Systems for Multi-Tenant Applications Using Machine Learning Algorithms

Marcos Cavalcanti, Pedro R. M. Inácio, Mário M. Freire. Performance Evaluation of Container-Level Anomaly-Based Intrusion Detection Systems for Multi-Tenant Applications Using Machine Learning Algorithms. In Delphine Reinhardt, Tilo Müller, editors, ARES 2021: The 16th International Conference on Availability, Reliability and Security, Vienna, Austria, August 17-20, 2021. ACM, 2021. [doi]

@inproceedings{CavalcantiIF21,
  title = {Performance Evaluation of Container-Level Anomaly-Based Intrusion Detection Systems for Multi-Tenant Applications Using Machine Learning Algorithms},
  author = {Marcos Cavalcanti and Pedro R. M. Inácio and Mário M. Freire},
  year = {2021},
  doi = {10.1145/3465481.3470066},
  url = {https://doi.org/10.1145/3465481.3470066},
  researchr = {https://researchr.org/publication/CavalcantiIF21},
  cites = {0},
  citedby = {0},
  booktitle = {ARES 2021: The 16th International Conference on Availability, Reliability and Security, Vienna, Austria, August 17-20, 2021},
  editor = {Delphine Reinhardt and Tilo Müller},
  publisher = {ACM},
  isbn = {978-1-4503-9051-4},
}