PRIVACY QUANTIFICATION STRATEGY OF MEASUREMENT DATA DIFFERENCE BASED ON TIME CORRELATION

In order to protect the privacy of measurement data release, a time-dependent measurement data difference privacy quantification strategy is proposed. A common Markov chain model was used to describe the time correlation between data at different time points, including backward correlation and forward correlation. The time privacy leakage calculation under the front and back correlation was transformed into finding the non-optimal solution of the linear fractional programming problem. Furthermore, a data publishing mechanism was proposed, which transformed the differential privacy mechanism into a data publishing mechanism for time privacy disclosure. Experimental results show the effectiveness of the proposed method.