mabrar92 / privacy-preserving-data-collection-protocol

Official Implementation of Novel approach Towards Privacy-Preserving Data Collection for IoT based 1: M Datasets as part of my Masters Research Thesis (Software Engineering). The work has also been Published in the journal of Multimedia Tools and Application (Springer Nature).

Enhanced Privacy Preserving Data Collection Protocol for 1:M Dataset

This is the offcial Implementation of Privacy-Preserving Data Collection for IoT based 1: M Datasets as part of my final Year thesis for Masters in Software Engineering under the supervision of Dr.Adeel Anjum from Comsats University Islamabad Pakistan. The code is written in python 3.0.

Instructions:

Eppdc.py is the main module which takes the following Arguments;

                                                        Dataset[a|i] Attributes[7|14]   Partitions{p} Counterfeit_Sensitive_Values [CSI]
                                                                   |              |             |                  |
                                                                   |              |             |                  |
                                                                   |              |             |                  |
                                                                   |              |             |                  |
                                                                   v              |             |                  |
                                               Adult dataset | Informs dataset    |             |                  |
                                                                                  v             |                  |
                                                     Number of Attributes for Chosen dataset    |                  |
                                                                                                v                  |
                                                           Number of l-diverse groups for chosen dataset           |  
                                                                                                                   v
                                                                   Number of Counterfeit Sensitive Values provided to Second Leader by Dataholders

Sample Command Line Usage : python Eppdc.py a 7 50 2

OutPut FIles

All data.xlsx

MST_Table.xlsx

SLandFL_datasets.xlsx