Skip to main content

Privacy-Preserving Continuous Event Data Publishing

Project description

Introduction

This project implements "Privacy-Preserving Continuous Event Data Publishing".

Python package

The implementation has been published as a standard Python package. Use the following command to install the corresponding Python package:

pip install pp-cedp

Usage

from pp_cedp.CEDP import CEDP

if __name__ == '__main__':
    log_name1 = "./event_logs/EL1_minutes_4_5_1_sequence.xes"
    log_name2 = "./event_logs/EL2_minutes_4_5_1_sequence.xes"
    event_attributes = ['concept:name']
    sensitive = ['Diagnose']
    life_cycle = ['complete', '', 'COMPLETE']
    all_life_cycle = True #True will ignore the transitions specified in life_cycle
    time_accuracy = "original" # original, seconds, minutes, hours, days
    bk_length = 1
    n = 1
    cedp = CEDP()
    R1_KA, R2_KA, FA, CA, BA = cedp.calc_FCB_anonymity(log_name1, log_name2, event_attributes, life_cycle, all_life_cycle, sensitive, time_accuracy, n, bk_length)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pp_cedp-0.0.5.tar.gz (20.0 kB view hashes)

Uploaded Source

Built Distribution

pp_cedp-0.0.5-py3-none-any.whl (20.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page