Enhanced Secure Digital Data Embedding and Extracting Using Advanced Crypto-Stego Mechanisms

Abstract

In this proposed study, a new hybrid approach is employed, which ensures the safe embedding as well as retrieval of digital data by using modern cryptography techniques along with steganographic techniques. By combining NTRU encryption, which provides quantum-resistant security, with the Arnold Transform, which improves data scrambling, the method significantly increases the stability of encrypted data. The transmission and storage of data are enhanced using Generative Adversarial Networks (GAN)-based compression without carrier file integrity being compromised. Efficient embedding and robust resistance to steganalysis attacks are promised by the Convolutional Neural Networks (CNN)-based data hiding method.