FI-GKA: Flexible and Intelligent Group Key Agreement for UANET

Authors: Maintaining anonymity during the review phase! ! !

Keywords: UANET, Group Key Agreement, CNN.

Requirements

• Python 3.10

• NS-3 (version == 3.25)

Description

The code in the repository implements the flexible and intelligent group key agreement scheme mentioned in the paper to test the performance of the proposed scheme.

• ModelTraining.py: This code implements the training and accuracy test of the intelligent threshold selection model mentioned in this paper.
• NS3.py: This code implements the UANET environment simulation using NS-3, and tests the group key agreement success rate and group key agreement delay of the proposed scheme.
• ConvertImg.py: This code converts a network connectivity matrix M into a grayscale image.

Installation

Note: The NS-3 simulation environment with python support needs to be installed, more details see: ns-3 | a discrete-event network simulator for internet systems (nsnam.org)

Python Dependencies:

• pytorch
• numpy
• PIL
• pandas

Usage

• After altering the train parameters, to train a new model:

  $ python branching_dqn.py