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