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secure-data-analysis's Introduction

Secure Data Analysis

This repo has the implementation of a research and the working examples of Garbled Circuit using GCParser.

Final Project

This contains the code for Fast Range Query Research Paper. Modularized code is available for each algorithm

Documentation

Included in the Final Project Folder

Requirements

  • OS: Windows 10
  • Python 3.6
  • Git for windows

Dependencies

  • binarytree

To install it, execute the following command "pip install binarytree"

Execution

  • Open cmd and type the following
  • git clone https://github.com/mohammedjasam/Secure-Data-Analysis
  • cd Secure-Data-Analysis
  • Create a data.txt and query.txt (Instructions are below) and place them in "Secure-Data-Analysis/Final Project/TreeGeneration" folder
  • From the "Final Project" Folder where the run.py is present, execute the following command

python run.py

Instructions for data.txt and query.txt

These are important for program execution, both files need integer input separated by commas. Example files are present in the root directory of the repository!

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