An improved method for predicting truncated multiple recursive generators with unknown parameters.
Han-Bing YuQun-Xiong ZhengYi-Jian LiuJingguo BiYu-Fei DuanJing-Wen XueYou WuYue CaoRong ChengLin WangBai-Shun SunPublished in: IACR Cryptol. ePrint Arch. (2022)
Keyphrases
- main contribution
- synthetic data
- high accuracy
- segmentation method
- dynamic programming
- high precision
- preprocessing
- pairwise
- experimental study
- computational cost
- detection method
- clustering method
- semi supervised
- classification method
- chronological backtracking
- support vector machine svm
- data sets
- computationally efficient
- feature set
- support vector machine
- classification accuracy
- cost function
- significant improvement
- high resolution
- similarity measure
- information retrieval
- neural network