Encrypted search using fully homomorphic encryption

The article explores the implementation of encrypted search operations using Zama’s Concrete Boolean library, enhanced by optical Fourier transform technology. It addresses the challenges of data privacy, especially in sectors like banking, where sensitive data must remain secure during processing. Traditional encryption methods require data decryption for computation, posing security risks. Fully Homomorphic Encryption (FHE) offers a solution, allowing computations on encrypted data without decryption, but is often slow. The article highlights how optical computing can accelerate FHE, enabling faster and secure data processing. Using the Concrete Boolean library, the authors demonstrate an encrypted string search process, converting character-based searches into Boolean operations to maintain privacy. While traditional search methods like tries are efficient, they are challenging to implement in FHE due to the lack of conditional branching. The study suggests that optical computing can significantly speed up FHE processes, potentially reducing computation time by a factor of 100. Through this approach, the article illustrates the potential of combining FHE with optical technology to enhance data security and processing speed, offering a glimpse into the future of encrypted data management.