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. 2020 Sep 16;20(18):5297. doi: 10.3390/s20185297

Algorithm 1 Algorithm for Differential Privacy.

Input: data: TD, privacy budget:

ϵ

Output: data with differential privacy protection: Diffp(TD)

1:
for attribute $t_{i}$ in TD do
2:
if attribute $t_{i}$ needs privacy protection then
3:
N = the number of candidates for attribute $t_{i}$
4:
$t_{i}$ is real value with probability $\frac{e^{ϵ}}{e^{ϵ} + N - 1}$
5:
$t_{i}$ is other candidate value with probability $\frac{1}{e^{ϵ} + N - 1}$
6:
end if
7:
end for