Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the NIST-approved Quantum-Resistant Cryptographic Algorithms

TL;DR

This research investigates the cybersecurity challenges posed by the convergence of AI/NLP and quantum computing, focusing on testing quantum cryptographic protocols like BB84 and NIST algorithms against AI-driven cyber threats.

Contribution

It introduces a comprehensive red teaming methodology to evaluate the robustness of quantum cryptography protocols in the context of AI/NLP vulnerabilities.

Findings

Identified potential attack vectors on quantum cryptographic protocols

Demonstrated the effectiveness of red teaming in uncovering security gaps

Provided insights for enhancing quantum-resistant cybersecurity measures

Abstract

In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing unprecedented opportunities and potential vulnerabilities.This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.