A Hybrid CNN-GRU and AES-256 Based Secure Data Transmission Framework with Zero-Trust Authentication for Cloud Networks
Keywords:
Secure data transmission, cloud computing, homomorphic encryption, blockchain, intrusion detection.Abstract
Cloud-based networks have become a critical component of modern digital infrastructures, yet they remain
vulnerable to security breaches and data transmission threats. This paper introduces a novel framework for
secure data transmission in cloud-based networks, integrating advanced cryptographic techniques with AI
driven anomaly detection. The proposed framework employs homomorphic encryption for privacy-preserving
computations and a Tab-Transformer-based intrusion detection system to identify potential threats in real
time. By leveraging blockchain technology, the framework ensures data integrity and non-repudiation while
maintaining computational efficiency. Experimental results demonstrate the effectiveness of the approach in
mitigating cyber threats and enhancing cloud network security. This work contributes to the field by
providing a scalable, efficient, and secure model for protecting sensitive data in cloud environments.
