10 Security, Privacy, and Authentication Framework for Web-Driven Data Fabric
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Aditya Saini
Abstract
The internet and related information technologies have sparked unheard-of innovation, economic value, and enhanced social services for more than two decades. Data on individuals that circulate across a complicated ecosystem power many of these advantages. As a result, when people interact with systems, goods, and services, they might not be able to comprehend the possible effects on their privacy. Organizations may not fully comprehend the full depth of these effects on people, society, or their businesses, which can have an impact on their branding, financial results, and growth prospects in the future. The National Institute of Standards and Technology also released the privacy structure: A tool to improve privacy through enterprise risk management (privacy framework) as a result of a translucent consensus-based process that involved both private and public stakeholders. The privacy framework aims to support advanced privacy engineering does that support privacy-by-design theories and support administrations ensure the confidentiality of their customers.
Abstract
The internet and related information technologies have sparked unheard-of innovation, economic value, and enhanced social services for more than two decades. Data on individuals that circulate across a complicated ecosystem power many of these advantages. As a result, when people interact with systems, goods, and services, they might not be able to comprehend the possible effects on their privacy. Organizations may not fully comprehend the full depth of these effects on people, society, or their businesses, which can have an impact on their branding, financial results, and growth prospects in the future. The National Institute of Standards and Technology also released the privacy structure: A tool to improve privacy through enterprise risk management (privacy framework) as a result of a translucent consensus-based process that involved both private and public stakeholders. The privacy framework aims to support advanced privacy engineering does that support privacy-by-design theories and support administrations ensure the confidentiality of their customers.
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- List of Authors VII
- 1 Demystifying Industrial Trends in Data Fabric 1
- 2 Web-Based Data Manipulation to Improve the Accessibility of Factory Data Using Big Data Analytics: An Industry 4.0 Approach 19
- 3 The Overview of Data Virtualizations and Its Modern Tools in the Domain of Data Fabrics 35
- 4 Data Fabric Technologies and Their Innovative Applications 61
- 5 Enterprise Data 95
- 6 Features, Key Challenges, and Applications of Open-Source Data Fabric Platforms 115
- 7 An Open-Source Data Fabric Platform: Features, Architecture, Applications, and Key Challenges in Public Healthcare Systems 127
- 8 Simulation Tools for Big Data Fabric 149
- 9 Simulation Tools for Data Fabrication 167
- 10 Security, Privacy, and Authentication Framework for Web-Driven Data Fabric 183
- 11 Government Compliance Strategies for Web-Driven Data Fabric 199
- Index 215
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- List of Authors VII
- 1 Demystifying Industrial Trends in Data Fabric 1
- 2 Web-Based Data Manipulation to Improve the Accessibility of Factory Data Using Big Data Analytics: An Industry 4.0 Approach 19
- 3 The Overview of Data Virtualizations and Its Modern Tools in the Domain of Data Fabrics 35
- 4 Data Fabric Technologies and Their Innovative Applications 61
- 5 Enterprise Data 95
- 6 Features, Key Challenges, and Applications of Open-Source Data Fabric Platforms 115
- 7 An Open-Source Data Fabric Platform: Features, Architecture, Applications, and Key Challenges in Public Healthcare Systems 127
- 8 Simulation Tools for Big Data Fabric 149
- 9 Simulation Tools for Data Fabrication 167
- 10 Security, Privacy, and Authentication Framework for Web-Driven Data Fabric 183
- 11 Government Compliance Strategies for Web-Driven Data Fabric 199
- Index 215
