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Flexible Yet Secure De-Duplication Service for Enterprise Data on Cloud Storage

机译:针对云存储的企业数据提供灵活而安全的重复数据删除服务

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摘要

The cloud storage services bring forth infinite storage capacity and flexible access capability to store and share\udlarge-scale content. The convenience brought forth has attracted both individual and enterprise users to outsource data service to a cloud provider. As the survey shows 56% of the usages of cloud storage applications are for data back up and up to 68% of data backup are user assets. Enterprise tenants would need to protect their data privacy before uploading them to the cloud and expect a reasonable performance while they try to reduce the operation cost in terms of cloud storage, capacity and I/Os matter as well\udas systems’ performance, bandwidth and data protection. Thus, enterprise tenants demand secure and economic data storage yet flexible access on their cloud data.\ud\udIn this paper, we propose a secure de-duplication solution\udfor enterprise tenants to leverage the benefits of cloud storage while reducing operation cost and protecting privacy. First, the solution uses a proxy to do flexible group access control which supports secure de-duplication within a group; Second, the solution supports scalable clustering of proxies to support large-scale data access; Third, the solution can be integrated with cloud storage seamlessly. We implemented and tested our solution by integrating it with Dropbox. Secure de-duplication in a group is performed at low data transfer latency and small\udstorage overhead as compared to de-duplication on plaintext.
机译:云存储服务带来了无限的存储能力和灵活的访问能力,以存储和共享\超大规模内容。带来的便利吸引了个人和企业用户将数据服务外包给云提供商。正如调查显示的那样,云存储应用程序使用率的56%用于数据备份,而高达68%的数据备份是用户资产。企业租户在将数据上传到云之前需要保护其数据隐私,并期望合理的性能,同时他们试图降低云存储,容量和I / O的运营成本以及系统性能,带宽和成本。数据保护。因此,企业租户需要安全,经济的数据存储,并且需要对其云数据进行灵活访问。\ ud \ ud本文中,我们为企业租户提出了一种安全的重复数据删除解决方案\ ud,以利用云存储的优势,同时降低运营成本并保护隐私。首先,该解决方案使用代理进行灵活的组访问控制,以支持组内的安全重复数据删除。其次,该解决方案支持代理的可伸缩群集,以支持大规模数据访问。第三,该解决方案可以与云存储无缝集成。我们通过将其与Dropbox集成来实施和测试了我们的解决方案。与在纯文本上进行重复数据删除相比,在组中进行安全重复数据删除的数据传输延迟时间短,存储开销少。

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