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  • 标题:A Framework for Integrity Auditing & Secure Data De-Duplication in Cloud
  • 本地全文:下载
  • 作者:K.Swathi ; Dr.N. Kasiviswanath
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:10
  • 页码:17541
  • DOI:10.15680/IJIRSET.2016.0510007
  • 出版社:S&S Publications
  • 摘要:Cloud storage systems are becoming more attractive trend for outsourcing data to cloud service forstorage, which is beneficial in sparing efforts on heavy data maintenance and management. As cloud computingbecomes prevalent, because enormous amount of data is being stored on the cloud. However, rapid growth of everincreasing volume of data has raised many new challenges. Data de-duplication is one of significant data compressiontechnique for eliminating duplicate copies of repeating data and has been widely adopted in cloud storage to reduce theamount of storage space and save upload bandwidth. To preserve the confidentiality of susceptible data whilesupporting de-duplication, the Content hash keying an encryption mechanism has been proposed to encrypt the databefore outsourcing it to cloud storage.In this work, we review the issues of integrity auditing and secure data de-duplication. Specifically, we arefocusing to achieve both data integrity and de-duplication in cloud, we come up with two secure systems, namelySecCloud and SecCloud+.SecCloud offers an auditing entity which maintains MapReduce cloud, assist clients togenerate data tags before uploading as well as audit the integrity of data stored in the cloud. SecCloud+ is designed andmotivated by the fact that clients always want to encrypt their data before uploading and authorize integrity auditingand secure de-duplication on encrypted data.
  • 关键词:Cloud Storage; Data de-duplication; Integrity auditing.
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