Enhancing Post-Quantum Cryptography with Adversarial Neural Cryptography
Basil Hanafi, Mohammad Ubaidullah Bokhari, Imran Khan · 2024
An Individual in the present time is surrounded with advanced computing technology in several forms. It is expected that in the very near future, Quantum Computers will be replacing the fastest computer systems of present times and will be having enough computational power to bring down the most prevailing cryptographic algorithm. The information that is being shared between different users on the Internet will be at risk in that particular scenario even after significant changes, like increasing the key size or using more complicated mathematical calculations for encrypting the text, which won’t be able to protect the integrity of the system. Several types of research are being carried out to protect the data and make systems resilient to the assaults made by the Quantum Computers of the Future. In this Research, a dynamic type of cryptography is discussed that has a lot of potential to overcome this situation in Post Quantum Scenario, namely Adversarial Neural Cryptography. Adversarial Neural Cryptography works on the architecture of Generative Adversarial Networks where two Neural Networks try to communicate with each other and protect the communication channel and a third Neural Network tries to compromise the connection. The conducted research also explores the computing applicability of the presented notion and its effect in the post-quantum Scenario.