New Method for Secure Communication

Author: Salome Shekiladze
Co-authors: Gigia Aptsiauri, Davit Khanjaladze
Keywords: Artificial Neural Network, Machine Learning, Secure Communication, Messaging Software Application
Annotation:

Machine Learning is the state-of-the art technology used for solving wide range of problems. We developed one of the models of Generative Adversarial Network – in order to provide a new type of secure communication. Secure data transfer is the most important issue of 21st century as many of software applications do not have a secure data transfer that meets the goals of confidentiality. We challenge artificial neural networks to learn the usage of secret keys in order to protect data. Within the project we aim to create a messaging software application which provides safe communication and encryption that would be implemented on base of model that learns information cipher and decipher without prescription of cryptographic algorithms.