A Behaviour-Based Authentication and Encrypted Chunking Framework for Resilient Cloud Security

Abstract

Cloud services lingers to transfigure information management and computation, it also presents momentous sanctuary apprehensions—predominantly in terms of identifying user credentials and secure information handling in decentralized networks. Outdated text-based access control mechanisms and even enhanced identity verification methods repeatedly fail to meet expectations in counter to advanced cyberattacks such as phishing schemes, identity compromise and session manipulations. To challenge these complications, this research presents an advanced, math-driven sanctuary prototype precisely premeditated for safe cloud computation. The projected model integrates three critical components: (1) data-level packet chunking, (2) AES-based encryption enhanced by a Dynamic Permutation Matrix (DPM), and (3) a new behaviour-driven authentication system called Behaviour-Linked One-Time Challenge (BLOC). This AI-powered validation technique powers behavioural biometrics such as typing undercurrents and mouse movement forms for safe and adaptive user proof. By uniting coarse data fortification and smart verification, the projected outline boosts privacy, veracity, and access control inside the cloud growth, offering greater flexibility against contemporary attack trajectories while upholding performance and scalability.