8 A blockchain-based business model to promote COVID-19 via cloud services
-
Abstract
The pandemic’s global spread resulted in nearly 3 million deaths and millions of people’s health deterioration. In addition to curfews, other restrictions were imposed in response to the risk of COVID-19. These restrictions disrupted education and working life, especially in places where people gathered in large groups. Aside from that, workforce planning in both the public and private sectors has changed with the adoption of remote working and flexible working methods from the beginning. By outsourcing their required services, businesses can reduce their total costs using cloud computing. Outsourcing changes the data protection landscape in definitions of trustworthiness, accuracy, and privacy. Consequently, public cloud has emerged as a major differentiator or competitive advantage for cloud providers. The use of block chain in cloud services is currently one of the most common inventions that can solve security problems in cloud computing. Data integrity, security, and anonymity are all provided by blockchain, a decentralized information management system. Cloud computing security issues and blockchain solutions are examined in detail in this chapter. Finding and evaluating articles from respected journals is made easier with the help of a variety of filters and global databases. Integration, trust, or privacy are all considered when it comes to cloud security. The results show that blockchain is an effective platform for this purpose. The most pressing issue, however, is the need for increased security. An action plan for prospective research and policy is also included in the chapter.
Abstract
The pandemic’s global spread resulted in nearly 3 million deaths and millions of people’s health deterioration. In addition to curfews, other restrictions were imposed in response to the risk of COVID-19. These restrictions disrupted education and working life, especially in places where people gathered in large groups. Aside from that, workforce planning in both the public and private sectors has changed with the adoption of remote working and flexible working methods from the beginning. By outsourcing their required services, businesses can reduce their total costs using cloud computing. Outsourcing changes the data protection landscape in definitions of trustworthiness, accuracy, and privacy. Consequently, public cloud has emerged as a major differentiator or competitive advantage for cloud providers. The use of block chain in cloud services is currently one of the most common inventions that can solve security problems in cloud computing. Data integrity, security, and anonymity are all provided by blockchain, a decentralized information management system. Cloud computing security issues and blockchain solutions are examined in detail in this chapter. Finding and evaluating articles from respected journals is made easier with the help of a variety of filters and global databases. Integration, trust, or privacy are all considered when it comes to cloud security. The results show that blockchain is an effective platform for this purpose. The most pressing issue, however, is the need for increased security. An action plan for prospective research and policy is also included in the chapter.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- List of contributing authors IX
- Editors profile XIII
- 1 Semantic web technologies: architecture, application, trends, and challenges 1
- 2 Review on role of semantic technologies in various domains 29
- 3 Geospatial semantic information modeling: concept and research issues 41
- 4 Applications of artificial intelligence for employees’ health and safety: present and future 65
- 5 Hybrid entropy-based support vector machine with genetic algorithm for classification 87
- 6 Decision system for bone disease diagnosis using crisp rule set theory 105
- 7 Extracting business methodology: using artificial intelligence-based method 123
- 8 A blockchain-based business model to promote COVID-19 via cloud services 135
- 9 Evolutionary computation and streaming analytics machine learning with IoT for urban intelligent systems 157
- Index 183
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- List of contributing authors IX
- Editors profile XIII
- 1 Semantic web technologies: architecture, application, trends, and challenges 1
- 2 Review on role of semantic technologies in various domains 29
- 3 Geospatial semantic information modeling: concept and research issues 41
- 4 Applications of artificial intelligence for employees’ health and safety: present and future 65
- 5 Hybrid entropy-based support vector machine with genetic algorithm for classification 87
- 6 Decision system for bone disease diagnosis using crisp rule set theory 105
- 7 Extracting business methodology: using artificial intelligence-based method 123
- 8 A blockchain-based business model to promote COVID-19 via cloud services 135
- 9 Evolutionary computation and streaming analytics machine learning with IoT for urban intelligent systems 157
- Index 183
