A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification

Konstantinos Demertzis, Lazaros S. Iliadis. A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification. In Alexander B. Sideridis, Zoe Kardasiadou, Constantine P. Yialouris, Vasilios Zorkadis, editors, E-Democracy, Security, Privacy and Trust in a Digital World - 5th International Conference, E-Democracy 2013, Athens, Greece, December 5-6, 2013, Revised Selected Papers. Volume 441 of Communications in Computer and Information Science, pages 11-23, Springer, 2013. [doi]

@inproceedings{DemertzisI13,
  title = {A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification},
  author = {Konstantinos Demertzis and Lazaros S. Iliadis},
  year = {2013},
  doi = {10.1007/978-3-319-11710-2_2},
  url = {http://dx.doi.org/10.1007/978-3-319-11710-2_2},
  researchr = {https://researchr.org/publication/DemertzisI13},
  cites = {0},
  citedby = {0},
  pages = {11-23},
  booktitle = {E-Democracy, Security, Privacy and Trust in a Digital World - 5th International Conference, E-Democracy 2013, Athens, Greece, December 5-6, 2013, Revised Selected Papers},
  editor = {Alexander B. Sideridis and Zoe Kardasiadou and Constantine P. Yialouris and Vasilios Zorkadis},
  volume = {441},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-319-11709-6},
}