Scalable Cyber Threat Hunting in Private Clouds Using Deep Belief Networks and Shabal Quantum Permuted Hash Blockchain

The threats to private cloud infrastructures are growing more and more sophisticated and are difficult to detect with signature-based defenses. The paper introduces a novel scalable framework DBN-SQPH-Chain based on Deep Belief Networks (DBNs) and a Shabal Quantum Permuted Hash (SQPH) Blockchain that enable real-time, tamper-proof cyber threat hunting in private cloud systems. Multi-source telemetry (network flows, system calls, container logs) are hierarchically extracted and scored by the DBN component, and the SQPH blockchain provides an immutable audit trail and cryptographically quantums resistant event provenance. Our framework tested the CICIDS-2017, UNSW-NB15 and KDD Cup 99 datasets from Kaggle and got a detection accuracy of 98.74%, false positive rate of 0.61% and processed up to 2.4 million events per second with less than 50ms delay on a 32-node private cloud cluster. A comparison with Random Forest, LSTM-AE and GAN based baseline models shows 4.1–9.3% increase in F1 score.