Secure K-NN Query and multiple key for secure medical data retrieval

The nearest neighbors query is a fundamental database query with a wide range of applications such as classification and clustering. Massive medical data is increasingly being outsourced to the cloud in encrypted form to take advantage of the benefits of cloud computing, with the promise of anonymity and privacy. Prior research has assumed that query users (QUs) are completely trustworthy and have access to the data owner’s (DO) key, which is used to encrypt and decrypt outsourced data. In many cases, the assumptions are impractical because many users are either untrustworthy or unaware of the key. With multiple keys, a unique. Using his own key, the DO encrypts and decrypts outsourced data. QUs retrieve data in part with one key and in full with another private key. This ensures that data sharing is secure. The goal of our research is to develop a new strategy for doing secure k-NN queries on encrypted cloud data with multiple keys. Using his own key, the DO encrypts and decrypts medical data. A distributed two trapdoors public-key cryptosystem (DT-PKC) and a set of secure two-party computing protocols are used to build the proposed scheme, which not only protects data confidentiality and query privacy but also enables the offline data owner.