Outsourcing data to cloud server gives a cost-effective way approach to support large-scale data storage and query processing. Be that as it may, because of security and privacy concerns, sensitive information (e.g., medical records) should be protected from the cloud server and other unauthorized clients. One approach is to outsource encrypted data to the cloud server and have the cloud server perform query processing on the encrypted data as it were. It remains a challenging task to help different querys over encrypted data in a secure and efficient way to such an extent that the cloud server does not increase any knowledge about the data, query, and query result. In this project, we examine the issue of secure skyline queries over encrypted data. The skyline query is especially important for multi-criteria basic decision making but also presents significant challenges due to its complex computations. We propose a completely secure skyline query convention on data encrypted utilizing semantically-secure encryption. As a key subroutine, we exhibit new secure predominance protocol, which can be likewise utilized as a building obstruct for different query. Finally, we give both serial and parallelized executions and exactly consider the protocols as far as efficiency and scalability under various parameter settings, checking the feasibility of our proposed solutions.