A Method for Accelerating Encrypted Data Search in Laravel Applications Using a Coded Search Parameter

Efficiently searching encrypted data within web applications presents a significant challenge for software engineers, primarily because traditional search methods necessitate decrypting each record individually to check for matches, leading to considerable computational overhead. The authors in this paper introduce an optimized search methodology for encrypted data in Laravel web applications by implementing a Coded Search Parameter (CSP). By incorporating an additional attribute into the MySQL database entity, which stores a coded representation of the initial character of the encrypted data - we substantially reduce server resource consumption and search time. During the search process, the algorithm initially executes a query filtered by the CSP attribute value, effectively narrowing down potential matches before decrypting the now reduced set of records. This approach also ensures that personal data remains protected without compromising data security. In this paper we provide a detailed exposition of the CSP method's implementation, evaluate its impact on search efficiency and present performance improvement analyses compared to traditional encrypted data search methods. Based on the research findings, it is concluded that the CSP method in Laravel applications significantly reduces search time for encrypted data, achieving an average acceleration of 73.58%.