Securing Data storage in Cloud after Migration using Immutable Data Dispersion

Rajesh Kumar C, Aroul Canessane R
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Abstract

Cloud computing has emerged as a technology behemoth with applications in a wide range of fields. When data is being migrated from offline data centres and stored in multiple cloud environments part of the control is always with the Cloud Service Providers(CSPs) leads to security concerns. The data stored in the cloud may sometimes be compromised even though the CSPs may take precautions to avoid such situations. In this paper, we discuss securely storing the data using the data dispersion technique by breaking the data into multiple segments and combining it with encryption along with replication. The division of data and storing it in the cloud helps in protecting the complete data even if an attacker tries to access the data it will not be easy for him to make sense of the retrieved data because the data is already being encrypted and combined with dispersion and replication adds to the complexity of retrieval. Security is achieved as the dispersed data is spread across multiple locations which makes it difficult for an attacker to get all the segments. In most scenarios be able it depends on traditional encryption techniques alone to protect the data. Here, We propose focusing more on how data is stored in the cloud to relieve the system of costly computational methodologies. In this strategy, the trade-off between security and the data retrieval time must also be considered.
使用不可变数据分散保护迁移后的云数据存储
云计算已经成为一个技术巨头,在许多领域都有应用。当数据从离线数据中心迁移并存储在多个云环境中时,部分控制始终由云服务提供商(csp)负责,这会导致安全问题。存储在云中的数据有时可能受到损害,即使云计算服务提供商可能采取预防措施来避免这种情况。在本文中,我们讨论了使用数据分散技术将数据分解成多个片段并将其与加密和复制相结合来安全存储数据。对数据进行划分并将其存储在云中有助于保护完整的数据,即使攻击者试图访问数据,他也不容易理解检索到的数据,因为数据已经被加密,并且与分散和复制相结合,增加了检索的复杂性。由于分散的数据分布在多个位置,使得攻击者难以获得所有的数据段,从而实现了安全性。在大多数情况下,只能依靠传统的加密技术来保护数据。在这里,我们建议更多地关注如何将数据存储在云中,以减轻系统中昂贵的计算方法。在此策略中,还必须考虑安全性和数据检索时间之间的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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