Homomorphic Encryption method for Bio Medical systems

Globally accessible databanks contain diagnostic results for patients with chronic conditions such as diabetes and hypertension. These resources provide valuable insights, including susceptibility to various diseases and familial relationships. However, the sensitive nature of this data necessitates privacy, as parties may prefer not to disclose their information to one another. Therefore, a protocol or technique is essential to ensure confidentiality. We are introducing an Enhanced Homomorphic Cryptosystem designed to fulfill industry standards. In this context, we will implement our scheme alongside other homomorphic encryption methods to evaluate the data in ciphertext form, thereby safeguarding privacy. This discussion will focus on the new protocol for healthcare systems utilizing Enhanced Homomorphic Cryptosystems, while also comparing it to existing schemes. Additionally, we will analyze the computational costs associated with several homomorphic encryption methods in relation to our new approach.