Quantum-Safe Cryptography: Preparing for the Post-Quantum Era of Cybersecurity

Abstract

This is because the near future of big quantum computing is dire in light of the current cryptographic systems, especially those involving RSA and ECC which are susceptible to the Shor algorithm (Shor, 1997). The current paper targets the global demand in terms of quantum-safe cryptography (QSC), which would protect the digital infrastructure after the post-quantum world (Chen et al., 2016). The aim of our work is assessing the robustness of the available post-quantum algorithms, such as lattice-based, code-based, and multivariate polynomial cryptosystems (Bernstein et al., 2009), and determining machine learning capabilities in predicting the robustness of the algorithms to quantum attacks. We used supervised learning algorithms to determine how strong a cryptographic algorithm is by the use of the data obtained through the NIST Post Quantum Cryptography Standardization Project (NIST, 2020). According to our results, the lattice-based ones as CRYSTALS-Kyber have good resistance levels (Hoffstein et al., 1998; Alkim et al., 2016). The paper based its conclusions on the idea that incorporating AI-based vulnerability detection into the cryptographic life cycle management will contribute to the improved quantum threat preparedness. The implications are the need to have global standards and agile cryptographic agility models (Mosca, 2018). The main future directions are to optimize the post quantum algorithms in terms of real-world implementations, security, and computational performance, strike a balance between them (Chen et al., 2016).

Keywords-  Hashtags: Post- Quantum Cryptography, quantitative computing, cryptography agility, lattice based cryptography, artificial intelligence vulnerability detection, cybersecurity standards.