大数据隐私与安全分析

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP) Pub Date : 2022-11-23 DOI:10.1109/ICFIRTP56122.2022.10059410

U. Aswal, A. Dumka, Rajesh Pokhariyal

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引用次数: 0

摘要

在大数据网络中，服务质量(QoS)至关重要，确保大数据分析的安全性和隐私性也至关重要。本研究提出了当前大数据网络安全的研究难点和可能的解决方案。为了解决大数据和SDN带来的安全风险，我们描述了几种网络安全方法(如入侵检测和网络威胁监控)，对我们面临的危险进行了分类，并对我们可用的许多防御(SDN)进行了对比。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Analysis of Big Data Privacy and Safety

Quality of service (QoS) in big data networks is crucial, as is ensuring the security and privacy of big data analytics. Current research difficulties and potential solutions to big data network security are presented in this study. To address the security risks posed by big data and SDNs, we describe several methods of network security (such as intrusion detection and network threat monitoring), categorise the dangers we face, and contrast the many defences available to us (SDN).

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来源期刊

2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)

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