International Journal of Scientific Research and Engineering Development

Cloud computing has emerged as a promising technology for managing vast IT resources in a costeffective and scalable manner. Many enterprises are transitioning from local data management systems to cloud-based solutions to store and manage product information. However, this shift introduces security challenges, particularly in safeguarding sensitive data while ensuring efficient search and retrieval. This paper proposes a privacy-preserving data search scheme for secure outsourcing and retrieval of product information in a cloud environment. The scheme leverages encryption, a secure k-Nearest Neighbor (KNN) algorithm, and an index-based search structure to ensure confidentiality without compromising search performance. Implementation results demonstrate improved security and retrieval efficiency.