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  • 标题:Survey on Recent Keyword Search Techniques on Outsource Encrypted Big Data
  • 本地全文:下载
  • 作者:Neha Mahajan ; V.M.Barkade
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:1
  • 页码:441
  • DOI:10.15680/IJIRCCE.2017.0501087
  • 出版社:S&S Publications
  • 摘要:Cloud data servers are the attractive outsource data storage options for number of academics andindustries, because of various reasons like efficient data storage management, economical cost and fast deployment. Inthis era, cloud service providers can provide the access to some part of storage servers on demand of requested users,who can access it from anywhere on any time and any kind of device. But with such successful data outsourcingsolution, various data privacy and confidentiality issues are arises. Because such data is available on internet. It can beillegally access by unauthorized users and they can alter it. Therefore Data encryption technique is one of the solutionsto maintain the data privacy and integrity. In which authorize data owner encrypt the data before outsourcing. Butsometime, on such encrypted data, efficient data utilization is not possible. It requires, some standard techniques, whichcan provide the efficient multikeyword search over outsourced encrypted data. In this survey, we investigate recentmultikeyword searching techniques over encrypted data and make their comparative analysis on the basis of technique/approach used their advantages and disadvantages.
  • 关键词:Privacy preserving; data mining; outsource data; keyword search.
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