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Big Data Security and Privacy: Current Challenges and Future Research perspective in Cloud Environment

机译:大数据安全性和隐私性:云环境中的当前挑战和未来研究视角

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Cloud computing is an Internet-based technology that emerging rapidly in the last few years due to popular and demanded services required by various institutions, organizations, and individuals. structured, unstructured, semistructured data is transfer at a record pace on to the cloud server. These institutions, businesses, and organizations are shifting more and more increasing workloads on cloud server, due to high cost, space and maintenance issues from big data, cloud computing will become a potential choice for the storage of data. In Cloud Environment, It is obvious that data is not secure completely yet from inside and outside attacks and intrusions because cloud servers are under the control of a third party. The Security of data becomes an important aspect due to the storage of sensitive data in a cloud environment. In this paper, we give an overview of characteristics and state of art of big data and data security & privacy top threats, open issues and current challenges and their impact on business are discussed for future research perspective and review & analysis of previous and recent frameworks and architectures for data security that are continuously established against threats to enhance how to keep and store data in the cloud environment.
机译:云计算是一种基于Internet的技术,由于各种机构,组织和个人所要求的流行和需求服务,在最近几年中迅速出现。结构化,非结构化,半结构化数据以创纪录的速度传输到云服务器。这些机构,企业和组织正在转移越来越多的云服务器上的工作负载,由于大数据带来的高成本,空间和维护问题,云计算将成为数据存储的潜在选择。在云环境中,很明显,由于云服务器在第三方的控制之下,因此数据还不能完全安全地免受内部和外部的攻击和入侵。由于在云环境中存储敏感数据,因此数据的安全性成为重要的方面。在本文中,我们概述了大数据的特征和技术现状以及数据安全和隐私的主要威胁,未解决的问题和当前的挑战及其对业务的影响,以供将来研究之用,并对以前和最近的框架进行回顾和分析。以及针对威胁而不断建立的数据安全架构,以增强如何在云环境中保存和存储数据。

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