A Worst-Case Entropy Estimation of Oscillator-Based Entropy Sources: When the Adversaries Have Access to the History Outputs

Shaofeng Zhu, Hua Chen, Wei Xi, MeiHui Chen, Limin Fan, Dengguo Feng. A Worst-Case Entropy Estimation of Oscillator-Based Entropy Sources: When the Adversaries Have Access to the History Outputs. In 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications / 13th IEEE International Conference On Big Data Science And Engineering, TrustCom/BigDataSE 2019, Rotorua, New Zealand, August 5-8, 2019. pages 152-159, IEEE, 2019. [doi]

@inproceedings{ZhuCXCFF19,
  title = {A Worst-Case Entropy Estimation of Oscillator-Based Entropy Sources: When the Adversaries Have Access to the History Outputs},
  author = {Shaofeng Zhu and Hua Chen and Wei Xi and MeiHui Chen and Limin Fan and Dengguo Feng},
  year = {2019},
  doi = {10.1109/TrustCom/BigDataSE.2019.00029},
  url = {https://doi.org/10.1109/TrustCom/BigDataSE.2019.00029},
  researchr = {https://researchr.org/publication/ZhuCXCFF19},
  cites = {0},
  citedby = {0},
  pages = {152-159},
  booktitle = {18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications / 13th IEEE International Conference On Big Data Science And Engineering, TrustCom/BigDataSE 2019, Rotorua, New Zealand, August 5-8, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-2777-4},
}