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This paper introduces a privacy-preserving conformance checking method using token-based replay and homomorphic encryption, enabling log owners to verify process conformance against a model without revealing sensitive log data. The approach encrypts the event log using homomorphic encryption, allowing the conformance checking to be performed on the encrypted data. Experiments on a synthetic log demonstrate the feasibility of the proposed technique.
Verify process conformance without revealing sensitive log data using homomorphic encryption.
Conformance checking, one of the main process mining operations, aims to identify discrepancies between a process model and an event log. The model represents the expected behaviour, whereas the event log represents the actual process behaviour as captured in information systems'records. Traditionally, the process model and the event log are both accessible to the business analyst performing the conformance checking. However, in some contexts the log's owner may want to protect critical or sensitive information in the log and still check its conformance with respect to a model belonging to another party. In this paper, we propose a secure approach to conformance checking based on the well-known token-based replay algorithm and homomorphic encryption. An evaluation is performed using a synthetic log, showing the practicality of the proposed technique.
