This document discusses data security in cloud computing. It explores the lack of trust management that has been established to promote greater cloud adoption. There is an information gap regarding the lack of effective cloud management to increase user trust in operations. The document analyzes the trust model, which evaluates security strengths of cloud services and applications. Both qualitative and quantitative research methods will be used to understand data security issues and measure security quality rather than just quantities. The target population for data collection is small and medium enterprises in the United States that store information in the cloud and face trust management challenges.

1. 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

2. 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,

3. 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.