Quantifying Temporal Privacy Leakage in Continuous Event Data Publishing. (arXiv:2208.01886v1 [cs.CR])

Process mining employs event data extracted from different types of
information systems to discover and analyze actual processes. Event data often
contain highly sensitive information about the people who carry out activities
or the people for whom activities are performed. Therefore, privacy concerns in
process mining are receiving increasing attention. To alleviate privacy-related
risks, several privacy preservation techniques have been proposed. Differential
privacy is one of these techniques which provides strong privacy guarantees.
However, the proposed techniques presume that event …

continuous data event privacy publishing temporal