Policy Negotiation for Human Digital Twins in multi-user/provider scenario

This is the official repository storing the implementation of the paper: "Efficient Enforcement of Privacy Preferences for Human Digital Twins in Multi-User/Provider Scenarios".

@inproceedings{sirigu2024human,
  title={Efficient Enforcement of Privacy Preferences for Human Digital Twins in Multi-User/Provider Scenarios},
  author={Sirigu, Giorgia and Carminati, Barbara and Ferrari, Elena},
  ...
}

Requirements

• Python 3.10+¹
• Python libraries: see file requirements.txt

Run the System

1. Modify the number of policies and privacy preferences in IntermediatePolicy.py file from 16 to 19 of the processes of interest to test.
2. Run file IntermediatePolicy.py
3. Results will be stored into the output folder

Results

Results are organised in .xlsx files generated in the main directory. Results of the single processes are stored within the results folder

Footnotes

1. https://www.python.org/ ↩