Fig 1.
The blockchain hierarchy.
Fig 2.
Modeling framework of this paper.
Fig 3.
Method overview timing diagram.
Fig 4.
Data pre-processing.
Fig 5.
Privacy budget consumed by different algorithms on MNIST dataset.
Fig 6.
Privacy budget consumed by different algorithms on CIFAR10 dataset.
Table 1.
Privacy budget consumption comparison for educational datasets.
Fig 7.
Comparison of accuracy of three algorithms on MNIST dataset.
Fig 8.
Comparison of accuracy of three algorithms on CIFAR10 dataset.
Table 2.
Accuracy and training rounds comparison for educational datasets.
Fig 9.
TPS comparison of different algorithms.
Table 3.
Running time comparison between the proposed algorithm and the original LDP algorithm.
Table 4.
Statistical analysis results – privacy budget consumption.
Fig 10.
Success probability of attackers recognizing students’ real identities.
Table 5.
Success probability of attack scenarios.