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PRIVACY PRESERVING FOR NUMERIC DATA QUERY IN CLOUD COMPUTING

机译:云计算中数字数据查询保留的隐私

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摘要

In the present situation, organizations and individuals are outsourcing database to limit their exertion and to get a minimal effort benefit. Keeping in mind the end goal to give the adequate usefulness to SQL inquiries, numerous safe database plans have been proposed. Be that as it may, such plans are defenseless against protection spillage to cloud server. For numerical range request (>, <, etcetra) these disregard to give sufficient security protection. A part of the challenges confronted are the security spillage of factual traits, get to examples et cetera. In like manner the expanded number of inquiries will discharge more data to the cloud server. We have considered a portion of these examination works and dissected the most ideal approaches to go to the coveted level of security protection on account of distributed computing. We have proposed two cloud engineering for secure database, with a progression of crossing point conventions that give protection safeguarding to different numeric related range questions. Security examination demonstrates that security of numerical data is firmly ensured against cloud suppliers in our proposed conspire.
机译:在目前的情况下,组织和个人正在外包数据库,以限制他们的努力,并获得最小的努力受益。请记住最终目标,为SQL查询提供足够的实用性,提出了许多安全的数据库计划。尽管如此,这样的计划是针对云服务器的保护溢出。对于数值范围请求(>,<,etta),这些无视提供足够的安全保护。面对面临的一部分挑战是事实特质的安全溢出,达到榜样等等。以类似方式扩展的查询数量将向云服务器提供更多数据。我们考虑了一部分这些考试作品,并解释了由于分布式计算而解释了最受欢迎的方法,以便在令人垂涎的安全保护水平。我们提出了两个云工程的安全数据库,交叉点惯例的进展,使保护保障对不同的数字相关范围问题。安全检查表明,在我们拟议的终结中,对云供应商牢固确保数值数据的安全性。

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