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
{"title":"大数据和数据科学在信息安全和网络安全方面的作用","authors":"Dariusz Prokopowicz, Anna Gołębiowska, Małgorzata Such-Pyrgiel","doi":"10.13166/jms/177036","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":16359,"journal":{"name":"Journal of modern science","volume":" 15","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The role of Big Data and Data Science in the context of information security and cybersecurity\",\"authors\":\"Dariusz Prokopowicz, Anna Gołębiowska, Małgorzata Such-Pyrgiel\",\"doi\":\"10.13166/jms/177036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":16359,\"journal\":{\"name\":\"Journal of modern science\",\"volume\":\" 15\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of modern science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13166/jms/177036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of modern science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13166/jms/177036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
28
审稿时长
5 weeks
期刊最新文献
Evolution of Secret Services in Poland. Legal and Social Dimension Special negotiations team as a temporary participating entity in the Act on companies established as a result of cross-border transformation, merger or division Is this already violence? Defining violence and domestic violence and its impact on awareness of the problem Labour incomes and economic activity in Poland Conceptualising securitisation in the field of cyber security policy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1