Advances in Quantum-Resistant Cryptography and Steganography

The field of cryptography and steganography is moving towards the development of quantum-resistant algorithms and techniques to secure digital infrastructures against evolving threats. Researchers are exploring innovative approaches, such as leveraging the dynamic folding properties of non-coding RNA to generate high-entropy keys and employing diffusion models for generative text steganography. Additionally, there is a growing interest in developing provably secure public-key steganography methods based on elliptic curves and admissible encoding. Noteworthy papers include: Crypto-ncRNA, which proposes a bio-convergent cryptographic framework that achieves a 100% pass rate on the NIST SP 800-22 randomness tests. GTSD, which improves generative speed, robustness, and imperceptibility of generative text steganography methods based on diffusion models.

Sources

Crypto-ncRNA: Non-coding RNA (ncRNA) Based Encryption Algorithm

TSCL:Multi-party loss Balancing scheme for deep learning Image steganography based on Curriculum learning

Secret Sharing for DNA Probability Vectors

GTSD: Generative Text Steganography Based on Diffusion Model

Provably Secure Public-Key Steganography Based on Admissible Encoding

Universal Encryption of Individual Sequences Under Maximal Leakage

CryptoUNets: Applying Convolutional Networks to Encrypted Data for Biomedical Image Segmentation

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