An Analysis about Different Steps that Play an Indispensable Role in Developing Enterprise Data Protection Framework

D. G, B. Mahesh
{"title":"An Analysis about Different Steps that Play an Indispensable Role in Developing Enterprise Data Protection Framework","authors":"D. G, B. Mahesh","doi":"10.36647/ttidmkd/02.02.a004","DOIUrl":null,"url":null,"abstract":"Enterprise data framework is the way of protecting various data or information in a systematic way. This is depicted strategic application in the way of major ethical practices in the company. The EDM structure of the company and this maintain data protection with various steps like, data identification, assigned compliance, tackling of different limitations, creation f report and sensitive data description. Researcher uses “interpretivism” research philosophy and “inductive” research approach to maintain proper strategy and process of work. Secondary data are collected by researcher with help of this qualitative research type. Several types of strategies related to data privacy protection are mentioned in this study. Financial and organisational losses are managed with help of this data protection framework. Authorisation and authentication are two types of data privacy processes globally. Data protection framework is also managed with the help of this privacy framework. 4 P’s of data privacy is also mentioned in this study. Security and compliance strategy is also mentioned here. Security threats and privacy threats are mentioned in this study.","PeriodicalId":314032,"journal":{"name":"TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36647/ttidmkd/02.02.a004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Enterprise data framework is the way of protecting various data or information in a systematic way. This is depicted strategic application in the way of major ethical practices in the company. The EDM structure of the company and this maintain data protection with various steps like, data identification, assigned compliance, tackling of different limitations, creation f report and sensitive data description. Researcher uses “interpretivism” research philosophy and “inductive” research approach to maintain proper strategy and process of work. Secondary data are collected by researcher with help of this qualitative research type. Several types of strategies related to data privacy protection are mentioned in this study. Financial and organisational losses are managed with help of this data protection framework. Authorisation and authentication are two types of data privacy processes globally. Data protection framework is also managed with the help of this privacy framework. 4 P’s of data privacy is also mentioned in this study. Security and compliance strategy is also mentioned here. Security threats and privacy threats are mentioned in this study.
浅析企业数据保护框架开发中各环节的作用
企业数据框架是对各种数据或信息进行系统保护的一种方式。这是描述战略应用的方式在公司的主要道德实践。公司的EDM结构和这种结构通过各种步骤维护数据保护,例如,数据识别,分配合规性,解决不同的限制,创建报告和敏感数据描述。研究者采用“解释主义”的研究哲学和“归纳法”的研究方法来保持适当的工作策略和过程。二手数据是由研究人员在这种定性研究类型的帮助下收集的。本研究中提到了几种与数据隐私保护相关的策略。在此数据保护框架的帮助下,可以管理财务和组织损失。授权和身份验证是全球范围内两种类型的数据隐私流程。数据保护框架也在此隐私框架的帮助下进行管理。本研究还提到了数据隐私的4p。这里还提到了安全性和遵从性策略。本研究中提到了安全威胁和隐私威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信