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  • 标题:Review Paper on Preserving Confidentiality of Data in Cloud Using Dynamic Anonymization
  • 本地全文:下载
  • 作者:Bhushan Mahajan ; Swati Ganar
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2012
  • 卷号:1
  • 期号:6
  • 出版社:IJCSN publisher
  • 摘要:Cloud computing is a model that enables Convenient and Ondemandnetwork access to a shared pool of configurablecomputing resources where millions of users share aninfrastructure. Security and Privacy concerns are significantobstacle that is preventing the extensive adoption of the publiccloud in the Industry. Multi-tenancy where multiple tenants sharecloud infrastructure poses an additional concern about thedeliberate or accidental exposure of data. Data Anonymizationmakes data worthless to anyone except the owner of the data. It isone of the methods for transforming the data in such a way that itprevents identification of key information from an unauthorizedperson. Data can also be anonymized by using techniques suchas, Hashing, Hiding, and Shifting etc. The proposed system usesnovel model of security i.e k-anonymity to improve dataanonymization. It uses dynamic anonymization technique, keydistribution mechanism to preserve confidentiality of clouddata.This paper gives literature survey of few methods that havebeen applied to preserve privacy for static and dynamicanonymization
  • 关键词:Anonymization; k-anonymity; l-diversity; t-closeness
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