A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines

Song Fu, Jianguo Liu, Husanbir S. Pannu. A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines. In Shuigeng Zhou, Songmao Zhang, George Karypis, editors, Advanced Data Mining and Applications, 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings. Volume 7713 of Lecture Notes in Computer Science, pages 726-738, Springer, 2012. [doi]

@inproceedings{FuLP12,
  title = {A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines},
  author = {Song Fu and Jianguo Liu and Husanbir S. Pannu},
  year = {2012},
  doi = {10.1007/978-3-642-35527-1_60},
  url = {http://dx.doi.org/10.1007/978-3-642-35527-1_60},
  researchr = {https://researchr.org/publication/FuLP12},
  cites = {0},
  citedby = {0},
  pages = {726-738},
  booktitle = {Advanced Data Mining and Applications, 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings},
  editor = {Shuigeng Zhou and Songmao Zhang and George Karypis},
  volume = {7713},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-35527-1},
}