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@article{194767,
        author = {Jasvika S and Dr. Sreejith Vignesh B P},
        title = {Efficient Privacy-Preserving Skyline Query Processing on Encrypted Cloud Data},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {5109-5112},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194767},
        abstract = {Cloud computing has turned out to be a popular choice for data storage. However, the storage of data in the cloud has raised serious privacy issues. In order to mitigate this problem, data owners usually use encryption to secure their data before it is uploaded to the cloud. Even though encryption is used to secure data, it becomes difficult to perform complex database operations. One of the complex database operations is the skyline query, which is used to retrieve the best data according to multiple criteria without the need to specify preference weights. Performing skyline queries over encrypted data is challenging, as the cloud server will not be able to access the data to compare it. This paper aims to describe a method of processing skyline queries over encrypted data in the cloud, ensuring data privacy. In this method, the cloud server will be able to perform the skyline query without knowing the data content. This will be achieved by using encryption with efficient query.},
        keywords = {Skyline Query, Encrypted Data, Privacy-Preserving Query Processing, Cloud Computing, Secure Data Outsourcing, Multi-Criteria Decision Making, Data Security, Encrypted Database Processing.},
        month = {March},
        }