Description

< In spite of increasing data intensity in cloud may also need to improve scalability and stability. Sensitive data must preserve securely on violating environment. Random space perturbation method provides protection & efficient range by performing family of encryption techniques. The Euclidean distance is often used to measure the proximity. Service Provider will be the responsible for indexing the data, query process with instance updating from the DOs. Nevertheless, the LBS can still derive sensitive information from the cloaked regions, so another line of re-search that uses cryptographic-strength protection was started to proceed. In order to decrease the computational cost inherent to processing on encrypted data, and consider the case of incrementally updating datasets in the entire progress.