Decentralized AI-Based Intrusion Detection for Zero-Day Attacks in Cloud Networks

Abstract

As quantum computing continues to advance, the need for secure systems resistant to the power
of quantum algorithms has become critical. Traditional cryptographic algorithms that rely on the
difficulty of certain mathematical problems, such as RSA and ECC, are vulnerable to quantum
attacks, particularly Shor's algorithm. This manuscript explores the integration of Post-Quantum
Cryptography (PQC) for ensuring long-term data security in cloud storage. We analyze quantumsafe cryptographic algorithms and their ability to protect sensitive data from quantum threats,
focusing on lattice-based, code-based, and multivariate-quadratic-equations (MQ) systems. The
study further investigates the challenges of implementing PQC in cloud environments, such as
computational overhead, backward compatibility with existing infrastructure, and scalability. By
conducting a detailed evaluation of both current and emerging PQC standards, we propose a
hybrid approach that combines traditional cryptography with quantum-resistant techniques to
enhance data security in cloud storage systems. This research aims to provide a roadmap for
migrating to secure, post-quantum cryptographic systems while maintaining performance and
compatibility in a cloud-based context.