大数据安全与隐私:云环境下的当前挑战与未来研究展望

Shafia Riaz, Alina Khan, M. Haroon, Sadia Latif, Sana Bhatti
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引用次数: 7

摘要

云计算是一种基于internet的技术,由于各种机构、组织和个人需要的流行和需求的服务,在过去几年中迅速出现。结构化、非结构化和半结构化数据以创纪录的速度传输到云服务器。这些机构、企业和组织正在将越来越多的工作负载转移到云服务器上,由于大数据的高成本、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,由于云服务器处于第三方的控制之下,数据在内部和外部攻击和入侵方面还没有完全安全。由于敏感数据存储在云环境中,数据的安全性成为一个重要的方面。在本文中,我们概述了大数据的特征和现状,以及数据安全和隐私的主要威胁,开放的问题和当前的挑战及其对业务的影响,讨论了未来的研究视角,并回顾和分析了过去和最近的数据安全框架和架构,这些框架和架构不断建立以应对威胁,以增强如何在云环境中保持和存储数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Security and Privacy: Current Challenges and Future Research perspective in Cloud Environment
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.
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