Designing Anomaly Detection System for Cloud Servers by Frequency Domain Features of System Call Identifiers and Machine Learning

Waqas Haider, Jiankun Hu, Nour Moustafa. Designing Anomaly Detection System for Cloud Servers by Frequency Domain Features of System Call Identifiers and Machine Learning. In Jiankun Hu, Ibrahim Khalil, Zahir Tari, Sheng Wen, editors, Mobile Networks and Management - 9th International Conference, MONAMI 2017, Melbourne, Australia, December 13-15, 2017, Proceedings. Volume 235 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 137-149, Springer, 2017. [doi]

@inproceedings{HaiderHM17,
  title = {Designing Anomaly Detection System for Cloud Servers by Frequency Domain Features of System Call Identifiers and Machine Learning},
  author = {Waqas Haider and Jiankun Hu and Nour Moustafa},
  year = {2017},
  doi = {10.1007/978-3-319-90775-8_12},
  url = {https://doi.org/10.1007/978-3-319-90775-8_12},
  researchr = {https://researchr.org/publication/HaiderHM17},
  cites = {0},
  citedby = {0},
  pages = {137-149},
  booktitle = {Mobile Networks and Management - 9th International Conference, MONAMI 2017, Melbourne, Australia, December 13-15, 2017, Proceedings},
  editor = {Jiankun Hu and Ibrahim Khalil and Zahir Tari and Sheng Wen},
  volume = {235},
  series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  publisher = {Springer},
  isbn = {978-3-319-90775-8},
}