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@article{156760,
        author = {Haider Kareem Mohammed},
        title = {PRIVACY-PRESERVING MULTI-KEYWORD RANKED SEARCH},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {4},
        pages = {698-704},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=156760},
        abstract = {Sensitive data, such as emails, personal health records, photo albums, tax documents, financial transactions, and other types of data, may need to be encrypted by data owners before being outsourced to the commercial public cloud [58]; however, this renders the traditional data utilization service based on plaintext keyword search obsolete. Due to the high cost of bandwidth in cloud scale systems, the simple approach of downloading all the data and decrypting locally is clearly impracticable. Furthermore, aside from eliminating local storage management, storing data in the cloud is useless unless it can be searched and used quickly. Thus, investigating a privacy-preserving and effective search service for encrypted cloud data is critical. Given the possibility for a big number of on-demand data users and a significant number of outsourced data documents in the cloud, this challenge is particularly tough to solve, as it is exceedingly difficult to meet performance, system usability, and scalability criteria.},
        keywords = {Cloud, Privacy, encrypt, system, performance, storage, management},
        month = {},
        }