Machine learning-based jamming detection for IEEE 802.11: Design and experimental evaluation

Oscar Puñal, Ismet Aktas, Cai-Julian Schnelke, Gloria Abidin, Klaus Wehrle, James Gross. Machine learning-based jamming detection for IEEE 802.11: Design and experimental evaluation. In Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2014, Sydney, Australia, June 19, 2014. pages 1-10, IEEE Computer Society, 2014. [doi]

@inproceedings{PunalASAWG14,
  title = {Machine learning-based jamming detection for IEEE 802.11: Design and experimental evaluation},
  author = {Oscar Puñal and Ismet Aktas and Cai-Julian Schnelke and Gloria Abidin and Klaus Wehrle and James Gross},
  year = {2014},
  doi = {10.1109/WoWMoM.2014.6918964},
  url = {http://dx.doi.org/10.1109/WoWMoM.2014.6918964},
  researchr = {https://researchr.org/publication/PunalASAWG14},
  cites = {0},
  citedby = {0},
  pages = {1-10},
  booktitle = {Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2014, Sydney, Australia, June 19, 2014},
  publisher = {IEEE Computer Society},
  isbn = {978-1-4799-4786-7},
}