Smart Intelligence Cyber Security based on Enhanced Steganography using Shuffle Padded Encryption Combined with Advanced Encryption Standard

Cyber security plays a vital role in safeguarding network communications amid rising cyber-attacks that cause data breaches and security compromises. Traditional steganography and cryptographic methods face challenges such as key leakage and weak authentication, resulting in poor security performance. To address these issues, the proposed AI-powered smart security framework introduces the Shuffle Padded Steganography Technique (SPST) for secure mobile data communication. Initially, the Least Significant Bit (LSB) substitution is employed to process segmented images and embed encrypted data within image blocks. Subsequently, Shuffle Padded Encryption, combined with the Advanced Encryption Standard (AES), enhances security by applying robust cryptographic policies and parity bit linearization, thereby improving encryption standards. Role-Based Access Control (RBAC) further fortifies authentication by validating role-specific keys and securing data handovers. This integrated system of steganography, cryptography, and access control establishes a multi-layered definition, significantly increasing resistance to cyber threats. The proposed framework outperforms existing models by ensuring high-security performance, stronger authentication, and reliable data protection in mobile communication environments.