Smart Cybersecurity: Enhanced Steganography with Hyperactive Crypto-Feature Engineering

Abstract

Digital systems, networks, and data require robust cyber security measures to counter evolving cyber threats and unauthorized intrusions. Steganography enhances secure communication by embedding information within digital media such as images, audio, and video, rendering hidden messages nearly undetectable. However, traditional steganography suffers from vulnerabilities to steganalysis, limited data capacity, and exposure to statistical and machine learning-based attacks. To overcome these limitations, modern steganography systems integrate advanced cryptographic methods to enhance security and resilience. This review examines solutions combining the Advanced Encryption Standard (AES) for symmetric encryption, Rivest-Shamir- Adelman (RSA) for asymmetric encryption, Quantum Key Distribution (QKD) for secure key exchange, Elliptic Curve Digital Signature Algorithm (ECDSA) for lightweight authentication, and Zero-Knowledge Proof (ZKP) for privacy-preserving verification. These integrated techniques improve data confidentiality, prevent unauthorized access, and strengthen defences against steganalysis attacks. The study evaluates the performance, limitations, and prospects of these intelligent cybersecurity applications, highlighting their potential to advance secure data transmission in the digital landscape.