Affiliation:
1. School of Computer Science and Engineering, Galgotias University, Greater Noida, India
2. Department of Artificial Intelligence and Data Science, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India
3. Department of Computer Science and Engineering, Matu Ram Institute of Engineering and Management, Rohtak, India
4. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India
Abstract
This chapter focuses on the following trends: multi-cloud; serverless; edge; AI and machine learning; and hybrid cloud. These advances offer certain advantages and risks, which can be seen even in the sphere of security. Nevertheless, cloud computing has some threats, such as data leakage, configuration errors, limited observability, account compromise, and internal threats. These issues explain why security is critical and why data protection laws like the GDPR, CCPA, HIPAA, and PCI DSS matter. Therefore, the objective of this chapter is to discuss and describe risk management, threat analysis, threat modelling and secure measures. Good practices, which include the use of encryption, identity, and access management, network security, and auditing of cloud environments, Thus, based on the observations, the future is likely to see the rising popularity of artificial intelligence and machine learning solutions, the continued growth of the edge computing concept, higher levels of security, and the further penetration of cloud services in developing countries.
Reference38 articles.
1. Security in cloud computing: Opportunities and challenges
2. A view of cloud computing
3. BrownA. (2022). Navigating the Multi-Cloud Landscape: Strategies and Best Practices. CloudTech Publishing.
4. BuyyaR.VecchiolaC.SelviS. T. (2013). Mastering cloud computing: Foundations and applications programming. Morgan Kaufmann.
5. California Legislative Information. (2018). California Consumer Privacy Act (CCPA). Retrieved from https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=201720180AB375