A Secure Multi-party Computational Adversary Selection Model Based on Time-Varying of Entropy

Xinyu Zhang, Yujun Liu, Yuling Chen, Zhan Wang. A Secure Multi-party Computational Adversary Selection Model Based on Time-Varying of Entropy. In Xiaofeng Chen 0001, Hongyang Yan, Qiben Yan, Xiangliang Zhang 0001, editors, Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I. Volume 12486 of Lecture Notes in Computer Science, pages 566-577, Springer, 2020. [doi]

@inproceedings{ZhangLCW20-0,
  title = {A Secure Multi-party Computational Adversary Selection Model Based on Time-Varying of Entropy},
  author = {Xinyu Zhang and Yujun Liu and Yuling Chen and Zhan Wang},
  year = {2020},
  doi = {10.1007/978-3-030-62223-7_50},
  url = {https://doi.org/10.1007/978-3-030-62223-7_50},
  researchr = {https://researchr.org/publication/ZhangLCW20-0},
  cites = {0},
  citedby = {0},
  pages = {566-577},
  booktitle = {Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I},
  editor = {Xiaofeng Chen 0001 and Hongyang Yan and Qiben Yan and Xiangliang Zhang 0001},
  volume = {12486},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-62223-7},
}