A Framework for Network Intrusion Detection using Network Programmability and Data Stream Clustering Machine Learning Algorithms

A Framework for Network Intrusion Detection using Network Programmability and Data Stream Clustering Machine Learning Algorithms. de Ribamar Lima Ribeiro, A., Ordonez, E. D. M., & Nascimento, A. C. A. In Ganzha, M., Maciaszek, L. A., & Paprzycki, M., editors, Preprints of Communication Papers of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019, Leipzig, Germany, September 1-4, 2019, volume 20, of Annals of Computer Science and Information Systems, pages 57–63, 2019.

Paper doi bibtex

@inproceedings{DBLP:conf/fedcsis/RibeiroON19,
  author    = {Admilson de Ribamar Lima Ribeiro and
               Edward David Moreno Ordonez and
               Anderson Clayton Alves Nascimento},
  editor    = {Maria Ganzha and
               Leszek A. Maciaszek and
               Marcin Paprzycki},
  title     = {A Framework for Network Intrusion Detection using Network Programmability
               and Data Stream Clustering Machine Learning Algorithms},
  booktitle = {Preprints of Communication Papers of the 2019 Federated Conference
               on Computer Science and Information Systems, FedCSIS 2019, Leipzig,
               Germany, September 1-4, 2019},
  series    = {Annals of Computer Science and Information Systems},
  volume    = {20},
  pages     = {57--63},
  year      = {2019},
  url       = {https://doi.org/10.15439/2019F87},
  doi       = {10.15439/2019F87},
  timestamp = {Wed, 09 Oct 2019 12:08:01 +0200},
  biburl    = {https://dblp.org/rec/conf/fedcsis/RibeiroON19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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