在杂交云技术中保护稳定重复数据删除

Q3 Medicine Koomesh Pub Date : 2018-08-01 DOI:10.1109/I-SMAC.2018.8653788
D. Babu, P. Narasimha Rao, M. Rakesh
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引用次数: 1

摘要

数据重复数据删除是消除重复事实副本的一种非常重要的方法,广泛应用于云车库中,以减少车库面积和保持带宽。为了避免在类似重复数据删除的情况下对敏感事实的隐私造成损害,我们计划在外包之前使用收敛加密方法对统计数据进行加密。为了捍卫信息保护,这份手稿解决了法律记录重复删除的麻烦。与传统的重复数据删除系统不同的是,在重复测试中,除了统计数据本身,同样考虑了客户的差异权。我们还奖励了许多最新的重复数据删除建设,协助授权复制,看看内部混合云结构。安全调查证明,以方便我们的方法是舒适的定义短语内提出的安全模型。作为概念的证据,我们执行了我们计划的官方复制测试方案的模型,并通过我们的模型进行了检验实验。我们证明了我们提出的合法复制方法与普通操作相比,产生的运营成本最小。
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PROTECTED STEADFAST DEDUPLICATION IN CROSSBREED CLOUD TECHNIQUE
Data deduplicate is individual of very critical approach for putting off replica copies of repeating facts, and widely used in cloud garage to diminish the amount of garage area and continue to be bandwidth. To shop from harm the privacy of touchy facts on similar instance as sustaining deduplication, the convergent encryption method have be planned to encrypt the statistics before outsourcing. To defend information protection, this manuscript addresses the hassle of legal records deduplication. Different from traditional deduplication systems, the disparity rights of customers are similarly taken into consideration in duplicate test except the statistics itself. We also reward numerous latest deduplicate construction assisting authorized reproduction takes a glance on inside hybrid cloud structure. Safety investigation demonstrate to facilitate our method be comfortable in phrases of the definitions exact within the proposed safety model. As an evidence of concept, we enforce a model of our planned official reproduction test scheme and conduct examined experiment by means of our model. We demonstrate that our proposed legal reproduction obtain a glance on method incur smallest amount operating cost in comparison to common operations.
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来源期刊
Koomesh
Koomesh Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
24 weeks
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