大数据和数据科学在信息安全和网络安全方面的作用

Dariusz Prokopowicz, Anna Gołębiowska, Małgorzata Such-Pyrgiel
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引用次数: 0

摘要

在决定在线电子银行业务连续发展阶段的信息和通信技术领域中,有必要推广在所谓的云中开展金融业务的标准,以及使用所谓的大数据平台中的大型数据集的标准。进行了问卷调查。目前,基于大数据数据集平台的新兴技术发展趋势通常允许执行多维计算并实时报告分析结果。通过对海量数据集进行分析,可以在整个实体层面进行全面、多角度的风险评估。在 SARS-CoV-2(Covid-19)冠状病毒大流行期间,基于大数据分析的分析变得更加重要。疫情期间,业务流程的数字化和互联网化程度也有所提高。目前正在进行的技术革命被定义为 "工业 4.0",其动力来自以下因素的发展:大数据数据库技术、云计算、机器学习、物联网、人工智能、商业智能和其他先进的数据处理数据挖掘技术。在开发新技术解决方案的基础上,近年来大数据分析得到了蓬勃发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of Big Data and Data Science in the context of information security and cybersecurity
In the area of the fastest growing fields of ICT technology which determine the successive stages of progress in the field of online electronic banking, it is necessary to disseminate standards for conducting financial operations carried out in the so-called cloud as well as using the large data sets located in the so-called Big Data platforms.For the purposes of this article, research has been carried out on the broad issue of Big Data Analytics applications in the context of social, normative, economic, environmental, climate aspects. A questionnaire survey was conducted. The method of analysis of literature sources concerning the subject of the article was applied.Currently emerging trends in the development of technology based on Big Data dataset platforms usually allow to perform multidimensional calculations and reported results of analyzes in real time. The analyzes conducted on huge data sets allow for comprehensive, multi-aspect risk assessments at the level of the whole entity. During the SARS-CoV-2 (Covid-19) coronavirus pandemic, there was an increase in the importance of analytics based on Big Data Analytics. During the pandemic, there was also an increase in the digitisation and internetisation of business processes. This also resulted in an increase in the scale of cybercrime development.The technological revolution currently taking place, defined as Industry 4.0, is motivated by the development of the following factors: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other technologies of advanced data processing Data Mining. On the basis of the development new technological solutions, in recent years there has been a dynamic development of Big Data Analytics.
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