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  • 标题:Energetic Data Maintenance with Encryption and Privacy Preserving Nature over Cloud Environment
  • 本地全文:下载
  • 作者:Jyothsna.S ; Dr Jitendranath Mungara ; Gangadhar C.Immadi
  • 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:3
  • 页码:6175
  • DOI:10.15680/IJIRCCE.2017.0503383
  • 出版社:S&S Publications
  • 摘要:Now-a-days IT industry is blasting. In this way, the prerequisite for assets is likewise on the expansion.Industry requires additionally handling power and capacity ability to meet their objective. Here, Cloud Processingcomes in the photo, it gives IT industry the genuinely necessary assets on a substantial scale easily and makes theirerrand simple. Associations can without much of a stretch outsource their enormous measure of information todistributed storage. In any case, the protection of information is a major concern. The information security can beaccomplished by encryption procedures; however it expands the trouble of safely seeking information on the cloud inlight of the fact that seeking in scrambled information is itself a testing undertaking. As of late many plans have beenproposed yet, these plans don't consider the semantic of the question. We proposed a novel strategy by consolidatingLSI and hierarchical group to get the semantic connection between the outcomes and to lessen the pursuit spaceseparately. Further, to check the inquiry result validness, we utilize MAC tree alongside a cryptographic signature.Through security and execution investigation we demonstrate that our technique is superior to anything past encodedsearchable plans.
  • 关键词:Searchable Encryption; Secure Data Maintenance; Dynamic Multi-Keyword Searching Scheme; Cloud;Computing.
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