A modulation-based encryption framework integrating channel and artificial noise for DNA storage

DNA storage has emerged as a promising solution for long-term, large-scale data archiving. However, ensuring data confidentiality remains a key challenge. The error-prone nature of DNA storage channels hinders reliable information retrieval but also provides opportunities for encryption. In this work, we propose a modulation-based encryption framework that leverages inherent channel noise and injected indel errors to enhance confidentiality in DNA storage. Simulations demonstrate high authorized decoding accuracy under realistic noise and resistance to brute force, ciphertext-only, chosen-plaintext, and partial key-leakage settings. We further interpret the security effect using intra-cluster entropy and KL divergence between normal and decoy reads. A proof-of-concept wet-lab experiment demonstrates feasibility in a real synthesis-sequencing workflow. Finally, comparisons with other DNA encryption methods and existing modulation-based schemes demonstrate that the proposed design provides an easily achievable and practical approach for data security by DNA storage.