Implementing RSA Algorithm for Data Encryption in MATLAB

Implementing RSA algorithm for data encryption in MATLAB provides a robust security solution, as RSA stands as a cornerstone cryptographic technique. To ensure data protection, we select RSA encryption methodology which holds significant importance in cryptography and is widely employed for secure data encryption and decryption processes. The RSA algorithm guarantees data confidentiality and integrity, effectively preventing unauthorized access and tampering. Thus, adopting RSA for data encryption constitutes a reliable and secure approach. In MATLAB, implementing RSA encryption requires minimal coding effort - typically involving key generation using functions like `rsa_generate_keys()`, encryption via `rsa_encrypt()`, and decryption through `rsa_decrypt()`. The process can be accomplished with just a few lines of code that handle modular arithmetic operations and large prime number manipulations. By leveraging RSA algorithm, we ensure data security while maintaining confidentiality and integrity throughout data transmission phases. The implementation typically involves: 1) Generating public/private key pairs using prime factorization, 2) Applying encryption transformation with modular exponentiation, and 3) Executing decryption using the Chinese Remainder Theorem optimization.