云环境下大数据的风险评估:安全、隐私与信任

Hazirah Bee bt Yusof Ali, Lili Marziana Abdullah, M. Kartiwi, Azlin Nordin
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引用次数: 2

摘要

云中的大数据使用速度惊人,使得数据容易暴露。云由许多相互连接的服务器组成,用于数据存储。由于由第三方拥有,云的安全性需要得到关注。在云中存储数据的风险需要在严重程度上进一步检查。应该有一种进入风险的方式。因此,本文的目的是使用单反,以便我们从安全、隐私和信任的角度对云计算环境下的大数据风险评估有广泛的文献背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Assessment for Big Data in Cloud: Security, Privacy and Trust
The alarming rate of big data usage in the cloud makes data exposed easily. Cloud which consists of many servers linked to each other is used for data storage. Having owned by third parties, the security of the cloud needs to be looked at. Risks of storing data in cloud need to be checked further on the severity level. There should be a way to access the risks. Thus, the objective of this paper is to use SLR so that we can have extensive background of literatures on risk assessment for big data in cloud computing environment from the perspective of security, privacy and trust.
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