An Adaptive Cybersecurity Framework Integrating Machine Learning, Zero Trust Policy, and Blockchain for Academic Cloud Environments
An Adaptive Cybersecurity Framework (ACF) is proposed that integrates unsupervised machine learning-based anomaly detection, a risk-based Zero Trust Policy Engine, and blockchain-based immutable audit logging within a continuous adaptive feedback loop to create an ecosystem-aware adaptive cybersecurity paradigm.