An Anomaly Detection Model Based on Immune Network with Variable Any-R-Intervals Matching Rule

Xiaoke Feng, Zhuo Sun, Bin Li. An Anomaly Detection Model Based on Immune Network with Variable Any-R-Intervals Matching Rule. In Qilian Liang, Xin Liu 0009, Zhenyu Na, Wei Wang 0180, Jiasong Mu, Baoju Zhang, editors, Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS, Volume I: Communications, Dalian, China, 14-16 July 2018. Volume 515 of Lecture Notes in Electrical Engineering, pages 367-375, Springer, 2018. [doi]

@inproceedings{FengSL18-0,
  title = {An Anomaly Detection Model Based on Immune Network with Variable Any-R-Intervals Matching Rule},
  author = {Xiaoke Feng and Zhuo Sun and Bin Li},
  year = {2018},
  doi = {10.1007/978-981-13-6264-4_45},
  url = {https://doi.org/10.1007/978-981-13-6264-4_45},
  researchr = {https://researchr.org/publication/FengSL18-0},
  cites = {0},
  citedby = {0},
  pages = {367-375},
  booktitle = {Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS, Volume I: Communications, Dalian, China, 14-16 July 2018},
  editor = {Qilian Liang and Xin Liu 0009 and Zhenyu Na and Wei Wang 0180 and Jiasong Mu and Baoju Zhang},
  volume = {515},
  series = {Lecture Notes in Electrical Engineering},
  publisher = {Springer},
  isbn = {978-981-13-6264-4},
}