Mixed Wavelet-Based Neural Network Model for Cyber Security Situation Prediction Using MODWT and Hurst Exponent Analysis

Fannv He, Yuqing Zhang, Donghang Liu, Ying Dong, Caiyun Liu, Chensi Wu. Mixed Wavelet-Based Neural Network Model for Cyber Security Situation Prediction Using MODWT and Hurst Exponent Analysis. In Zheng Yan, Refik Molva, Wojciech Mazurczyk, Raimo Kantola, editors, Network and System Security - 11th International Conference, NSS 2017, Helsinki, Finland, August 21-23, 2017, Proceedings. Volume 10394 of Lecture Notes in Computer Science, pages 99-111, Springer, 2017. [doi]

@inproceedings{HeZLDLW17,
  title = {Mixed Wavelet-Based Neural Network Model for Cyber Security Situation Prediction Using MODWT and Hurst Exponent Analysis},
  author = {Fannv He and Yuqing Zhang and Donghang Liu and Ying Dong and Caiyun Liu and Chensi Wu},
  year = {2017},
  doi = {10.1007/978-3-319-64701-2_8},
  url = {https://doi.org/10.1007/978-3-319-64701-2_8},
  researchr = {https://researchr.org/publication/HeZLDLW17},
  cites = {0},
  citedby = {0},
  pages = {99-111},
  booktitle = {Network and System Security - 11th International Conference, NSS 2017, Helsinki, Finland, August 21-23, 2017, Proceedings},
  editor = {Zheng Yan and Refik Molva and Wojciech Mazurczyk and Raimo Kantola},
  volume = {10394},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-64701-2},
}