Data Security in Cloud Computing
Prof
University
Comment by CA: Is this what you are eluding to? Exploring the management of trust in data security in a cloud computing environment.
Data Security in Cloud Computing
Description
Data security in cloud computing consists of policies and procedures that help protect cloud systems, infrastructure, and data. With cloud users, there is not enough trust management that has been put in place to promote maximum cloud growth (Ghazizadeh & Cusack, 2018). These research results are the area of data security in cloud computing to find more insights that can help keep data more secure while in the cloud.
Information Gap
There is the information gap of the lack of enough cloud computing management to increase users' trust in all the operations partaken. Due to this, there is the presented problem of data security which is costly to the organizations. Comment by CA: Is this the topic? Comment by CA: What do you mean?
Models/Theories Developed in the Area
From the research identified, the model that has been used for analysis is the trust model. The trust model is the security strength evaluator to the cloud services and the applications (Ghazizadeh & Cusack, 2018). Ghazizadeh and Cusack (2018) state that the model helps set up security at the identity cloud services as it finds the inadequacies and enhances the cloud's infrastructure to ensure maximum security.
One of the cited problems from the body of knowledge is cloud computing's management system concerning their trust in data collection and synthesis. To Exploring more on the management system problem, both the trust model and the evaluation theory are used to identify trust in the cloud, which is essential for data security. Through this, proper recommendations concerning data security in the cloud will be made. Comment by CA: Topic?
Research Type
Both qualitative and quantitative research methods will be used. Qualitative research will be used as it is fundamental to measure the quality of data security rather than its quantity (Senyo et al., 2018). Besides, it is essential in describing things as the numerical expressions are hard to define such things. Quantitative research will help explore the facts, percentages, and measures when exploring data security in the cloud (Senyo et al., 2018). With the two methods mixed, both the why and what questions will be answered.
Research Target Group Comment by CA: This is very broad. Where will you get your data?
The possible population used for data collection is the small and medium enterprises (SMEs) in the United States that have stored their information in the cloud. They were seen to be the most effective population as they deal with a large amount of data which is the cloud, that requires security as they are faced with trust management issues.
References
Ghazizadeh, E., & Cusack, B. (2018). Evaluation Theory for Characteristics of Cloud Identity Trust Framework. Cloud Computing-Technology and Practices, 933-939.
Senyo, P. K., Addae, E., & Boateng, R. (2018). Cloud computing research: A review of research themes, frameworks, methods, and future research directions. International Journal of Information Management, 38(1), 128-139.