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Data security in mobile cloud computing paradigm: a survey, taxonomy and open research issues

机译:移动云计算范例中的数据安全性:调查,分类法和开放研究问题

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The incessant spurt of research activities to augment capabilities of resource-constrained mobile devices by leveraging heterogeneous cloud resources has created a new research impetus called mobile cloud computing. However, this rapid relocation to the cloud has fueled security and privacy concerns as users' data leave owner's protection sphere and enter the cloud. Significant efforts have been devoted by academia and research community to study and build secure frameworks in cloud environment, but there exists a research gap for comprehensive study of security frameworks in mobile cloud computing environment. Therefore, we aim to conduct a comprehensive survey to analyze various cryptographic, biometric and multifactor lightweight solutions for data security in mobile cloud. This survey highlights the current security issues in mobile cloud environment and infrastructure, investigates various data security frameworks and provides a taxonomy of the state-of-the-art data security frameworks and deep insight into open research issues for ensuring security and privacy of data in mobile cloud computing platform.
机译:通过利用异构云资源而不断涌现的研究活动,以增强资源受限的移动设备的功能,这创造了一种新的研究动力,即移动云计算。但是,随着用户数据离开所有者的保护范围并进入云中,这种快速迁移到云中引发了安全性和隐私问题。学术界和研究界已经做出了巨大的努力来研究和建立云环境中的安全框架,但是对于移动云计算环境中的安全框架的全面研究存在研究空白。因此,我们旨在进行全面调查,以分析用于移动云中数据安全的各种密码,生物识别和多因素轻量级解决方案。该调查重点介绍了移动云环境和基础架构中当前的安全性问题,调查了各种数据安全性框架,并提供了最新数据安全性框架的分类标准,并对开放式研究问题进行了深入了解,以确保数据中的数据安全性和隐私性。移动云计算平台。

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