Comparative Survey on Big data Security Applications, A Blink on Interactive Security Mechanism in Apache Ozone

Shiraz Ali Wagan, M. Junaid, Nawab Muhammad Faseeh Qureshi, D. Shin, Kee-Hyun Choi
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引用次数: 1

Abstract

Nowadays, companies are transitioning towards security-based technology to secure data at the maximum level and there are several solutions provided to solve the big data security issues. The existing solutions are highly multidisciplinary security embedded, but still, there are openings to solve the upcoming Hadoop technology like Apache Ozone which is scalable, redundant, and more importantly a distributed object storage for Hadoop. With the growing information and technology, the volume of data traffic is transmitted over storage that requires extensive security measures and privacy in the environment of big data. In this paper, we describe our efforts towards the traditional way of securing the data and compare different methods to secure the data in Hadoop technology and suggested an optimum solution.
大数据安全应用对比调查,Apache Ozone交互安全机制初探
如今,公司正在向基于安全的技术过渡,以最大程度地保护数据,并且提供了几种解决方案来解决大数据安全问题。现有的解决方案是高度多学科的安全嵌入式解决方案,但仍然存在解决即将到来的Hadoop技术的机会,如Apache Ozone,它是可扩展的,冗余的,更重要的是Hadoop的分布式对象存储。随着信息技术的发展,大量的数据流量通过存储进行传输,在大数据环境下,需要广泛的安全措施和隐私保护。在本文中,我们描述了我们对传统数据保护方式的努力,并比较了Hadoop技术中不同的数据保护方法,并提出了最佳解决方案。
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