A MULTILAYERED SECURITY SCHEME FOR DATA ENCRYPTION AND DECRYPTION FOR STRONGER SECURITY TOWARDS POST-QUANTUM CRYPTOGRAPHY IN CLOUD COMPUTING

Post-quantum cryptography (PQC) is poised to revolutionize data, network, and information system security as quantum computing gains traction. Shor and Grover's methods show how the potential of quantum computing might make cryptographic primitives like RSA and AES susceptible. This suggests that developments in quantum computing are replacing the most advanced conventional encryption methods. Future quantum computers might be far quicker than current ones because of techniques like superposition and entanglement in quantum computing. As such, initiatives are underway to create security solutions that are compliant with PQC. It's important to note that more work will need to be done to construct security primitives compatible with PQC, as the research of these schemes is still in its early phases. The Multilayered Data Encryption Standard (MDES) is one multilayered security technique that addresses this. Because this approach uses many data transformations, data in transit and at rest is exceptionally safe. Encrypting the first layer's data uses the enhanced AES encryption standard. Data availability and integrity are enhanced by slicing and modifying the ciphertext at the second layer using the Optimal Information Dispersal Algorithm (OIDA). The data is converted into an alternate format once slices are created, before the hash value is computed. The data is stored in cloud computing or any other storage system after conversion. Java is the programming language used to construct the specified security solution. An empirical investigation reveals that the proposed technique is highly secure and supports data availability and integrity through a verifiable data loss recovery mechanism. Security research shows the recommended strategy is safer than the most recent methods.