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Percival: A Reliable, Long-Term, Distributed Storage System Free of Fixed-Key Encryption

机译:Percival:一种可靠的,长期的,没有固定密钥加密的分布式存储系统

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摘要

Secret splitting has been shown to improve reliability, reduce the risk of insider threat, and remove the issues surrounding key management in distributed long-term datastores. However, to date there has been little or no adoption of this technique in production environments. When it has been implemented, it was done relying on fixed-key encryption for various parts of the system, e.g. during ingestion to maintain user privacy, or pre-indexing to facilitate searching since the inherent security of such a datastore normally precludes it from being directly searched without reassembling the data. Fixed-key encryption, unfortunately, is not well suited for long-term applications due to its introduction of a single point of compromise and failure as well as its key management issues. Furthermore, even if the data remains intact after a long period of time, since standard reconstruction methodologies rely upon external knowledge to perform the reconstruction, they will eventually fail. When they do, information loss is almost certain in applications of sufficient size to make reconstruction combinatorially prohibitive. The most recent method to mitigate this risk has a high runtime, and limits the inherent security of the secret-split datastore.;To address the need of a reliable, long-term, distributed storage system free of fixed-key encryption, we propose Percival: a novel system that enables searching a secret-split datastore, maintains information privacy, and does not rely on external information to ensure reconstruction remains feasible. It is built upon the knowledge gained from conducting an in-depth comparison of file migration activity on the mass storage system (MSS) at the National Center for Atmospheric Research (NCAR) during two periods, one in the early 1990s, and another nearly twenty years later. To accommodate real-world user access patterns, Percival allows one to search the secret-split data while both keeping the bulk of the work on each client and the data custodians blinded to both the contents of a query as well as its results. Furthermore, to ensure reconstruction is feasible for even very large secret-split datastores, we also present two novel disaster recovery methods that greatly reduce the number of reconstruction attempts required during reconstruction; this enables recovery of the original data, where previously the data would have been lost.
机译:秘密分割已被证明可以提高可靠性,减少内部威胁的风险并消除分布式长期数据存储中密钥管理的问题。但是,迄今为止,在生产环境中几乎没有采用这种技术。实施后,它是依靠固定密钥加密来完成系统各个部分的操作,例如在摄取期间保留用户隐私,或者在进行预索引以方便搜索时,因为此类数据存储区的固有安全性通常会阻止直接搜索该数据存储区而无需重新组合数据。不幸的是,固定密​​钥加密由于引入了单点妥协和失败以及密钥管理问题,因此不太适合长期应用。此外,即使数据在很长一段时间后仍保持完整,由于标准的重建方法依赖于外部知识来执行重建,因此它们最终将失败。当它们这样做时,几乎可以肯定的是,在足够大的应用程序中信息丢失会使得重建组合起来变得令人望而却步。减轻这种风险的最新方法具有较高的运行时间,并限制了秘密拆分数据存储的固有安全性。为了满足对可靠,长期,无固定密钥加密的分布式存储系统的需求,我们建议Percival:一种新颖的系统,可以搜索秘密分割的数据存储区,维护信息隐私,并且不依赖外部信息来确保重建仍然可行。它基于在两个时期内(对一个时期在1990年代初期,另外一个时期接近二十个时期)在国家大气研究中心(NCAR)进行的海量存储系统(MSS)上文件迁移活动的深入比较中获得的知识。多年后。为了适应现实世界中的用户访问模式,Percival允许人们搜索秘密分割的数据,同时使每个客户端上的大量工作和数据保管者都对查询的内容及其结果视而不见。此外,为了确保即使对于非常大的秘密拆分数据存储来说,重建也是可行的,我们还提出了两种新颖的灾难恢复方法,它们可以大大减少重建过程中所需的重建尝试次数。这样就可以恢复原始数据,而以前这些数据将丢失。

著录项

  • 作者

    Frank, Joel Cameron.;

  • 作者单位

    University of California, Santa Cruz.;

  • 授予单位 University of California, Santa Cruz.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 97 p.
  • 总页数 97
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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