https://github.com/fmannhardt/pddp
Process Discovery with Differential Privacy
https://github.com/fmannhardt/pddp
eventlogs privacy processmining
Last synced: 11 months ago
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Process Discovery with Differential Privacy
- Host: GitHub
- URL: https://github.com/fmannhardt/pddp
- Owner: fmannhardt
- License: mit
- Created: 2019-06-27T19:47:01.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-02-17T12:36:21.000Z (almost 6 years ago)
- Last Synced: 2025-01-23T01:34:33.345Z (about 1 year ago)
- Topics: eventlogs, privacy, processmining
- Language: C#
- Size: 28.3 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- License: LICENSE.PDDP
Awesome Lists containing this project
README
Process Discovery with Differential Privacy (PDDP)
=========================================================
This project contains two components:
* PDDP: A C# REST server component providing differential privacy guarantees for two common queries on (XES)[http://www.xes-standard.org/openxes/start] event logs.
* PINQ: Privacy Integrated Queries library as released by (Microsoft Research)[https://www.microsoft.com/en-us/research/project/privacy-integrated-queries-pinq/].
# Paper
The implemented technique is described in our paper:
> Mannhardt, F., Koschmider, A., Baracaldo, N. et al. Privacy-Preserving Process Mining - Differential Privacy for Event Logs. Bus Inf Syst Eng (2019). https://doi.org/10.1007/s12599-019-00613-3
An open online version can be accessed here:
https://rdcu.be/bOXut
Please use the citation above when refering to this software in your work.
# ELPaaS
You can also use the PDDP implementation through ELPaaS:
https://github.com/samadeusfp/ELPaaS