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付印金, 肖侬, 廖湘科, 刘芳. 面向个人数据云备份的应用感知数据缩减与加密[J]. 计算机科学技术学报, 2013, 28(6): 1012-1024. DOI: 10.1007/s11390-013-1394-5
引用本文: 付印金, 肖侬, 廖湘科, 刘芳. 面向个人数据云备份的应用感知数据缩减与加密[J]. 计算机科学技术学报, 2013, 28(6): 1012-1024. DOI: 10.1007/s11390-013-1394-5
Yin-Jin Fu, Nong Xiao, Xiang-Ke Liao, Fang Liu. Application-Aware Client-Side Data Reduction and Encryption of Personal Data in Cloud Backup Services[J]. Journal of Computer Science and Technology, 2013, 28(6): 1012-1024. DOI: 10.1007/s11390-013-1394-5
Citation: Yin-Jin Fu, Nong Xiao, Xiang-Ke Liao, Fang Liu. Application-Aware Client-Side Data Reduction and Encryption of Personal Data in Cloud Backup Services[J]. Journal of Computer Science and Technology, 2013, 28(6): 1012-1024. DOI: 10.1007/s11390-013-1394-5

面向个人数据云备份的应用感知数据缩减与加密

Application-Aware Client-Side Data Reduction and Encryption of Personal Data in Cloud Backup Services

  • 摘要: 随着个人计算设备存放越来越多的重要信息,针对个人数据的云备份正变得越来越重要。客户端在数据传输前采用数据缩减技术,如重复数据删除、Delta编码和LZ压缩等,消除数据冗余能够有效地节省网络带宽和降低云存储空间。然而,在云备份服务中进行客户端数据缩减将面临缩减效率和数据隐私方面的挑战。本文通过开发个人数据中的应用感知提出了一种安全高效的云备份服务Pangolin。它在客户端使用应用感知的数据缩减技术来加速备份操作,同时将选择加密集成到数据缩减中来保证敏感应用数据的安全性,以降低数据安全风险。最后,对比传统的云备份服务,基于原型实现验证了本文提出的新机制能够将备份窗口缩减到原来的33%~75%,并且敏感应用的安全机制对备份窗口大小的影响可以忽略不计。

     

    Abstract: Cloud backup has been an important issue ever since large quantities of valuable data have been stored on the personal computing devices. Data reduction techniques, such as deduplication, delta encoding, and Lempel-Ziv (LZ) compression, performed at the client side before data transfer can help ease cloud backup by saving network bandwidth and reducing cloud storage space. However, client-side data reduction in cloud backup services faces efficiency and privacy challenges. In this paper, we present Pangolin, a secure and efficient cloud backup service for personal data storage by exploiting application awareness. It can speedup backup operations by application-aware client-side data reduction technique, and mitigate data security risks by integrating selective encryption into data reduction for sensitive applications. Our experimental evaluation, based on a prototype implementation, shows that our scheme can improve data reduction efficiency over the state-of-the-art methods by shortening the backup window size to 33%~75%, and its security mechanism for sensitive applications has negligible impact on backup window size.

     

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