论文标题
云计算中的分布式数据验证协议
Distributed Data Verification Protocols in Cloud Computing
论文作者
论文摘要
最近，由于其动态性质，将大量数据存储到云中已成为现代计算的有效趋势。存储后，用户删除了其数据文件的原始副本。因此，用户无法直接控制该数据。这种缺乏控制介绍了云数据存储中的安全问题，最重要的安全问题之一是远程存储的数据的完整性。在这里，我们提出了一种分布式的算法方法，以公开概率可验证的方案来解决此问题。由于第三方审核员方的大量工作量，我们将验证任务分配给各种少数。我们使用SOBOL随机序列生成维持均匀性属性的随机块数字。此外，我们的方法还为每个子任务提供了统一性。为了使每个子任务制服，我们使用一些分析方法。为了这种统一性，我们的协议非常有效，快速地验证数据的完整性。此外，我们通过使用重叠任务分配键对关键数据提供特殊关注。
Recently, storage of huge volume of data into Cloud has become an effective trend in modern day Computing due to its dynamic nature. After storing, users deletes their original copy of the data files. Therefore users, cannot directly control over that data. This lack of control introduces security issues in Cloud data storage, one of the most important security issue is integrity of the remotely stored data. Here, we propose a Distributed Algorithmic approach to address this problem with publicly probabilistic verifiable scheme. Due to heavy workload at the Third Party Auditor side, we distributes the verification task among various SUBTPAs. We uses Sobol Random Sequences to generates the random block numbers that maintains the uniformity property. In addition, our method provides uniformity for each subtasks also. To makes each subtask uniform, we uses some analytical approach. For this uniformity, our protocols verify the integrity of the data very efficiently and quickly. Also, we provides special care about critical data by using Overlap Task Distribution Keys.
