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  • 标题:Advanced Privacy Preserving Algorithm for Encrypted Data in Cloud Computin
  • 本地全文:下载
  • 作者:U.SHALINI ; B.PREETHI HARIKA ; MS.SAI PRAKASH
  • 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:2021
  • 卷号:9
  • 期号:7
  • 页码:8032-8038
  • DOI:10.15680/IJIRCCE.2021.0907031
  • 语种:English
  • 出版社:S&S Publications
  • 摘要:As of late, safety saving affiliation rules mining calculations has been proposed to help data security. In any case, the calculations have an extra overhead to embed counterfeit things (or phony exchanges) and cannot shroud statistics recurrence. Right now, advocate a security defensive association rule digging calculation for scrambled records in dispensed computing. For affiliation rule mining, we use Apriori calculation by utilizing the Elgamal cryptosystem, without greater phony exchanges. Consequently, the proposed calculation can make certain the twoinformation protection and query safety, even as disguising information recurrence. We show that the proposed calculation accomplishes around 3-5 instances desired execution over the cutting-edge calculation, concerning association rule mining time.
  • 关键词:Affiliation rules mining;apriori algorithm;elgamal crypto system
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