大数据技术信息安全保障标准化

N. Miloslavskaya, A. Nikiforov, V. Budzko
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引用次数: 1

摘要

大数据技术的发展需要海量的数据处理和高处理速率,以及复杂系统之间的直接和密切的相互作用,促使人们迫切需要完善国际标准和协议,为现代大数据技术的运行提出充分的要求。目前,由于数据操作规模的变化,这些技术已经向前发展,需要新的方法。与这种“大数据”的交互必须由制定处理大量信息集要求的组织来规范。与此同时,在这些方法中确保信息安全(IS)的问题目前还不能被认为是适当的解决。本文讨论了大数据领域的现有标准,重点是对其信息系统的充分保证。本研究的重点是如何在现有的标准中解决is的问题,并试图在研究领域做出一些预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Standardization of Ensuring Information Security for Big Data Technologies
Evolvement of Big Data technologies demanding huge amounts of data processing and big processing rates, as well as direct and close interactions of complicated systems prompts an idea of urgent improvement in international standards and protocols contributing to working out adequate requirements to modern Big Data technologies' operation. At present, these technologies have stepped far forward and require a new approach due to a change in data operation scale. Interactions with such 'Big Data' have to be regulated by the organizations which formulate requirements for handling huge information sets. At the same time issues of ensuring information security (IS) in such approaches cannot be considered properly worked out nowadays. The paper discusses existing standards in the field of Big Data, where reviewed with a gross emphasis on the adequate ensuring of its IS. This research is focused on how the issues of IS are solved in the existing standards and it attempts to work out some prognostications in the studied area.
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