A DNA-Based Cryptographic Framework Using LSTM-NN for Cloud Computing Security

DNA cryptography represents an advanced data security method which translates plaintext messages into DNA sequences using the vast storage potential and complex structure of DNA. The worldwide prevalence of cloud computing makes this method an exceptional replacement for standard encryption practices because it resolves modern digital threats. The proposed framework presents a complete DNA encryption system which employs one-hot encoding together with binary-to-DNA mapping and LSTM neural networks as advanced components. The proposed algorithm protects data through encryption key creation as well as the use of algorithms that hide the original information. During the encryption process the system achieves high performance by reaching 92.30% training accuracy yet the decryption process ends up with 88.90% accuracy. Future optimization of DNA-based encryption security models will benefit from this research which confirms its ability to protect digital data transmissions effectively.