Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations

Differential Privacy (DP) has received increasing attention as a rigorous privacy framework. Many existing studies employ traditional DP mechanisms (e.g., the Laplace mechanism) as primitives to continuously release private data for protecting privacy at each time point (i.e., event-level privacy),...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering. - 1998. - 31(2019), 7 vom: 14. Juli, Seite 1281-1295
1. Verfasser:	Cao, Yang (VerfasserIn)
Weitere Verfasser:	Yoshikawa, Masatoshi, Xiao, Yonghui, Xiong, Li
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2019
Zugriff auf das übergeordnete Werk:	IEEE transactions on knowledge and data engineering
Schlagworte:	Journal Article Differential privacy Markov model correlated data streaming data time series