A Hybrid Framework for Secure Communication Integrating HMAC and GAN Algorithm

Published: April 26, 2024

The exponential growth of sensitive data transmitted across insecure public networks necessitates the development robust security solutions. This paper proposes CRYPTO-STEGO, a novel hybrid framework that synergistically integrates cryptographic and steganographic techniques to bolster communication security. CRYPTO-STEGO leverages Hash-based Message Authentication Code (HMAC) for encryption, ensuring confidentiality integrity. Additionally, it utilizes Generative Adversarial Network (GAN) imperceptible embedding within an image carrier. symbiotic integration offers comprehensive protection by guaranteeing confidentiality, integrity, authenticity. HMAC safeguards integrity authenticity, while GAN cloaks image, rendering undetectable human eye. multifaceted approach effectively thwarts unauthorized access attempts network, only authorized recipients can embedded data. Consequently, significantly elevates overall posture communication. achieves high quality metrics (PSNR=49.4482, SSIM=O.9962, Correlation=O.99978), demonstrating its effectiveness in preserving fidelity cover image.

Language: Английский

Performance Analysis of Machine Learning Models for Liver Disease Patient Classification

Published: Nov. 21, 2024

Language: Английский