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An Adaptive Multilevel Security Framework for the Data Stored in Cloud Environment

机译:云环境中存储数据的自适应多级安全框架

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摘要

Cloud computing is renowned for delivering information technology services based on internet. Nowadays, organizations are interested in moving their massive data and computations into cloud to reap their significant benefits of on demand service, resource pooling, and rapid elasticity that helps to satisfy the dynamically changing infrastructure demand without the burden of owning, managing, and maintaining it. Since the data needs to be secured throughout its life cycle, security of the data in cloud is a major challenge to be concentrated on because the data is in third party's premises. Any uniform simple or high level security method for all the data either compromises the sensitive data or proves to be too costly with increased overhead. Any common multiple method for all data becomes vulnerable when the common security pattern is identified at the event of successful attack on any information and also encourages more attacks on all other data. This paper suggests an adaptive multilevel security framework based on cryptography techniques that provide adequate security for the classified data stored in cloud. The proposed security system acclimates well for cloud environment and is also customizable and more reliant to meet the required level of security of data with different sensitivity that changes with business needs and commercial conditions.
机译:云计算以基于互联网的信息技术服务而闻名。如今,组织对将其海量数据和计算移至云中以获取其随需应变服务,资源池和快速弹性的显着优势感兴趣,这些优势可帮助满足动态变化的基础架构需求,而无需拥有,管理和维护负担。由于需要在整个生命周期中确保数据的安全性,因此云数据的安全性是需要重点关注的主要挑战,因为数据位于第三方场所。用于所有数据的任何统一的简单或高级安全性方法要么危及敏感数据,要么证明其成本太高且开销增加。如果在成功攻击任何信息时确定了通用安全模式,则针对所有数据的任何通用多重方法都将变得脆弱,并且还会鼓励对所有其他数据进行更多攻击。本文提出了一种基于加密技术的自适应多级安全框架,该框架可为存储在云中的分类数据提供足够的安全性。提议的安全系统非常适合云环境,并且可以进行定制和更可靠地满足具有不同敏感度的数据安全级别的要求,敏感度会随着业务需求和商业条件的变化而变化。

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