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Oblivious user management for cloud-based data synchronization

机译:基于云数据同步的用户管理遗忘

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摘要

One of the main issues with data sharing in cloud environment is to manage user access and its auto revocation in a controlled and flexible way. The issue becomes more complex when privacy on user access has to be ensured as well to hide additional leakage of information. For automatic revocation over cloud data, access can be bounded within certain anticipated time limit so that the access expires beyond effective time period. This time-oriented approach is more rigid and not a one-size-fits-all solution. In certain circumstances, exact time anticipation is not an easy choice. Instead, the alternate solution could be task oriented to restrict user beyond certain number of permissible attempts to access the data. We have proposed oblivious user management (OUM) in which a user can have access on cloud data for certain number of attempts without imposing any time restriction. For user authorization and her subsequent revocation, owner will perform one time setup activity and that is same for all users. The model also alleviates the burden of managing different access parameters at user end with each request as she will always use the same parameter for all valid attempts. Our approach also conceals the privacy of user attempts throughout the communication. Hiding this information helps to avoid distinguishing importance of particular user that has more authorization over others. Evaluation results have proved that OUM hides number of permissible attempts until request arrives at Cloud Storage. The Performance analysis conducted on Google App Engine revealed that the cost of operations performed in OUM is within the range of 0.097-0.278 $ per 1,000 requests.
机译:云环境中数据共享的主要问题之一是以受控和灵活的方式管理用户访问及其自动吊销。当还必须确保用户访问的隐私以隐藏其他信息泄漏时,问题变得更加复杂。对于基于云数据的自动吊销,可以将访问限制在某些预期的时间限制内,以使访问到期超过有效时间段。这种面向时间的方法更加严格,而不是一刀切的解决方案。在某些情况下,准确的时间预测并非易事。相反,替代解决方案可以面向任务,以限制用户超出一定数量的允许访问数据的尝试。我们提出了遗忘用户管理(OUM),其中用户可以对云数据进行一定次数的尝试访问,而没有施加任何时间限制。对于用户授权及其随后的撤消,所有者将执行一次设置活动,这对于所有用户都是相同的。该模型还减轻了在每个请求的用户端管理不同访问参数的负担,因为她将始终对所有有效尝试使用相同的参数。我们的方法还隐藏了整个通信过程中用户尝试的隐私。隐藏此信息有助于避免区分具有比其他用户更多权限的特定用户的重要性。评估结果证明,OUM隐藏了允许的尝试次数,直到请求到达Cloud Storage。在Google App Engine上进行的性能分析显示,在OUM中执行的操作成本在每1000个请求0.097-0.278美元的范围内。

著录项

  • 来源
    《Journal of supercomputing》 |2015年第4期|1378-1400|共23页
  • 作者单位

    Kyung Hee Univ, Dept Comp Engn, Ubiquitous Comp Lab, Yongin 446701, Gyeonggi Do, South Korea;

    Univ West Scotland, Sch Comp, Paisley PA1 2BE, Renfrew, Scotland;

    Kyung Hee Univ, Dept Comp Engn, Ubiquitous Comp Lab, Yongin 446701, Gyeonggi Do, South Korea;

    Kyung Hee Univ, Dept Comp Engn, Ubiquitous Comp Lab, Yongin 446701, Gyeonggi Do, South Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cloud storage; Private matching; Oblivious access; Privacy;

    机译:云存储;私有匹配;隐秘访问;隐私;

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