Research Article
A Blockchain-Integrated Divided-Block Sparse Matrix Transformation Differential Privacy Data Publishing Model
Table 1
Explanation of abbreviations and symbols used in the algorithm.
| Abbreviations or symbols | Full name or explanations |
| DSMT-DP | Divided-block Sparse Matrix Transformation Differential Privacy Data Publishing Algorithm | | The number of data samples (row of the matrix) | | The number of data attributions (column of matrix) | | The budget parameter of differential privacy | | The cumulative contribution percentage of eigenvalues | | The divided-block dimensionality threshold | | The number of divided-block | | The data matrix | | The covariance matrix | | The positive semidefinite matrix | | The noisy sample matrix | | The noise-added covariance matrix | | The unbiased estimate of A′ | | The total number of iterations | | The current number of iterations | | The pair of coordinates | | The Givens rotation angle | | The sparse matrix | | The unit matrix | | The selected number of eigenvectors | | The eigenvalue | | The eigenvalue sequence | | The eigenvector matrix | | The low-dimensional projection matrix | | The recovery matrix |
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