The document discusses a research project that aims to address issues with implementing a Trust Management Model. It reviews literature on trust management in IoT, how it can be used as a public infrastructure, and effective distribution models. The research methodology involves identifying sub-problems, addressing each one, and combining solutions. Expected outcomes are addressing how the model handles issues. Future work could involve blockchain-based or decentralized social network trust models.

1. Answers: Introduction Project Aims The aim of the project is
Answers:
Introduction
Project Aims
The aim of the project is to address the issues implementing the Trust Management Model.
In order to address the issue, the appropriate existing pieces of literature will be reviewed
along with discussing a proper methodology.
Background
The Trust Management Model is basically considered as a viable solution by which the IoT
issues are addressed. By optimizing the protection, as well as process of the support
decision making, the concerned model identifies the untrusted behaviour, installation of the
untrusted objects and redirecting the functionality for trusted zones (Malik et al. 2019).
According to the Trust Management model a system is proposed through which the trust
management system can be implemented for cloud computing. As a result, secured data
access is assured by the cloud service provider. Herein the method of trust evaluation gets
proposed to weight the trust factors for calculating the multiple attributes.
Research Problems And The Context
In terms of research problem the issue of abstract notion of the non-measurable variables
will be taken into account. Considering this fact the concept of Trust Management Model
will be concerned as a viable solution for resolving the IOT issues. As such the issues will be
focused on identifying the areas of support for the decision making process, optimisation of
protection, and identification of untrusted behaviour. Herein the components of the Trust
Management Model will be discussed.
Expected Outcomes
In terms of expected outcomes, it can be stated that the research will address the way
through which the issues are addressed by the Trust Management Model.

2. Benefits And Significance
In terms of benefits, it can be stated that the study is significant because it will review
appropriate pieces of the existing literature. As the data will be gathered from the already
published research, therefore authentic data will be presented by the concerned research.
Issues in current Trust Management Model: In current Trust Management Model it is seen
that the concerned model fails to optimise the protection along with supporting the decision
making process. As a result, the trust management system got failed to be implemented for
the cloud computing. The issues in trust evaluation method weighted the trust factors to be
calculated considering the several attributes.
How to resolve the issues: In order to resolve the said issue, the cloud security standard will
be established. As such, the SOC 2 standard will be demonstrating the policies, controls and
procedures of the firm in order to meet the trust management principles such as
Availability, Security, Processing Integrity, Privacy and Confidentiality.
Research Methodology
What is the Problem?
The issues of abstract notions of non-measurable variables has been considered in terms of
the problem. In light of this, the Trust Management Model idea will be considered as a
feasible approach for tackling IoT concerns (Kochovski et al. 2019). As a result, the concerns
will be focused on identifying the areas of support decision-making process, protection
optimization, and recognising untrustworthy behaviour. The Trust Management Model's
components will be explained in this section.
How do you break it down to smaller (sub-) problems?
In order to break down the main problems into the sub problems, establishment of the sub
problems will be done for distinguishing their characters. Herein it is worth to mention that
in order to identify the key problems, the sub problems will be considered as a researchable
as well as the complete unit (Rehiman and Veni 2017). As such the sub problem will be
clearly linked with the data interpretation.
How Do You Address Each Sub-Problem?
In order to identify the each sub problem, all the sub problems will be identified as a
complete resealable unit. Herein, the sub problems will be strongly linked with the data
interpretation. It is worth mentioning here that the sub problems need to be added up to
the total of the issue. Herein the sub problems will be established based on the aim of the
research.

3. How do you put everything together to solve your big problem?
In order to solve the big problem of the research, the main problem will be differentiated
from the opinion fact. As such specifying the underlying issues, the alternative solutions are
expected to be generated on that note. Apart from that by selecting as well as evaluating the
alternative, the target standard will be relatively linked.
Literature Review
Theme 1: Understanding the concept of Trust management in IoT:
In relation to the IoT, the concept of trust management has appeared as a vital solution for
trust issues. Some previous research has stated that the concerned model helps to optimize
the protection along with supporting the decision making process. As such by identifying
the untrusted behaviour, it can isolate the untrusted objects along with redirecting the
functionality associated with the trusted zones. Based on this concern theme, it can be
stated that the hierchical trust management model focuses on inverted tree structure
focusing on which the root causes are analysed. On the other hand, as believed by Li,
Varadharajan and Nepal (2019) as the root considered as the starting point of a trust,
therefore the top down arts enhance the leaf node of the user.
Theme 2: Trust Management Model as a Public infrastructure:
Trust Management Model has been identified as a collection of rules through which the
application is informed regarding deciding the legitimacy of the digital certificate. The
research by Isirova and Potii (2018) revealed that fundamentally the trust management
model provides the positive environment whether to trust on a particular organization or
needs to depend on the certificate issued by the hierarchical department of the
organization. Herein, in order to address the issues most of the organizations opt for the
peer to peer architecture due to its well defined structure of the organization as well as
discovering the complex validation.
Theme 3: Effective distribution of the trust management model for IoT:
The Internet of Things (IoT) is a worldwide architecture for the digital age that connects
physical or digital things with current interoperability technological tools under
development to deliver improved services. It is indeed interesting to note that the explosion
in the number of cell phones and internet connections has created a new industry with
nearly limitless possibilities. Every day, 5.5 million things are connected throughout the
globe in 2016. By 2020, the population might be in the billions (Maddar, Kammoun and
Youssef 2018). According to Gartner, 26 billion items will be deployed by 2020. On the
other hand, in order to address the issue, In comparison to the above theme, it can be stated
that in order to address the issue, the categorization process is rather different. The
clustering approach can be represented on a computer as an inversion tree, but the web-of-

4. trust is more directly tied to how people evaluate trustworthiness in their personal
interactions. Customers can define how much trust they have in a certificate by choosing the
number of independent signatories that must be present for it to be considered valid (Tran,
Lu and Weber 2018). This technique works well for small groups with well-established
relationships, but it does not scale well for big groups or where security consistency is
critical, such as the amount of verification required before issuing a certificate.
Results/Outcomes And Analysis/Discussion
Introducing and discussing the results/outcomes that have achieved:
In terms of achieving the outcomes, it can be stated that the concerned study has identified
several themes identifying the existing pieces of literature. Herein as identified from the
selected themes, in the context of the Internet of Things, the notion of trust management
has emerged as a viable solution to trust challenges. According to prior study, the concerned
model aids in the optimization of protection as well as the decision-making process. As a
result, it may segregate untrusted objects while diverting functionality associated with
trusted zones by recognising untrustworthy behaviour (Mehraj and Banday 2020).
According to this common concept, the hierchical trust management model relies on an
inverted tree structure in which the root causes are identified. On the other hand, because
the root is thought to be the starting point of a trust, top down arts are used to enrich the
sub users. The abstract idea of non-measurable variables has been considered in terms of
the research challenge. Given this, the Trust Management Model idea will be seen as a
feasible approach for overcoming IoT concerns. As a result, the concern has been focused on
identifying the areas of support decision-making process, protection optimization, and
untrustworthy behaviour identification (Awan et al. 2019). The Trust Management Model's
components will be explored in this article. In terms of predicted outcomes, the study has
been looked into how the Trust Management Model deals with challenges.
Suggestions For Future Solutions:
In terms of future solutions, it can be stated that in the forthcoming days, the Block chain
based trust management model is required to be used (Qureshi et al. 2020). As such the
trust related issues can be attacked by producing the malicious users through utilizing the
techniques of classification. Decentralization of the online social network is another area to
be concerned for the future solutions.
What is to be done in the rest weeks?
Activities during research
1st Week

5. 2nd Week
3rd Week
4th Week
5th Week
6th Week
7th Week
Selection of research topic
ü

6. Composition of the literature review
ü

7. Methodology followed in the research
ü
Collection of secondary data for the research

8. ü
ü
Data analysis and interpretation

9. ü
ü
Findings

10. ü
Conclusion and Recommendation for the research study
ü

11. Final submission of the research report
ü
(Source: Self-Creation)
Conclusion And Future Outlook
What problems have you addressed?
It can be concluded that The Trust Management Model is widely recognised as a viable
approach to dealing with IoT issues. By optimizing the protection and support decision-
making processes, the concerned model recognises untrustworthy behaviour, isolates
untrustworthy objects, and diverts functionality to trusted zones. A way for establishing a
trust management system for cloud computing is described by the Trust Management
Model. As a result, the cloud service provider ensures that data is accessible in a secure
manner. In this research, a trust evaluation approach is presented for computing a variety

12. of attributes by weighing the trust components.
What results have you achieved and what is the significance of the results?
The result that has been achieved from the study is that In terms of accomplishing the
desired goals, it can be claimed that the research project has found various topics through
analysing existing literature. As a result of the chosen topics, the following is presented. The
concept of trust management has evolved as a feasible solution to trust concerns in the
context of the Internet of Things. The concerned model, according to previous research,
contributes in the optimization of protection as well as the decision-making process. As a
consequence, by recognising untrustworthy behaviour, it may be able to isolate untrusted
objects while redirecting functionality associated with trusted zones.
What problems would need to be addressed in future?
In terms of problems to be addressed in future, it can be claimed that the block chain-based
trust management model will be necessary in the near future. As a result, trust-related
issues may be targeted by creating fraudulent users and employing categorization
algorithms. Another area to consider for future solutions is decentralization of online social
networks.
References
Awan, K.A., Din, I.U., Almogren, A., Guizani, M., Altameem, A. and Jadoon, S.U., 2019.
Robusttrust–a pro-privacy robust distributed trust management mechanism for the
internet of things. IEEE Access, 7, pp.62095-62106.
Kochovski, P., Gec, S., Stankovski, V., Bajec, M. and Drobintsev, P.D., 2019. Trust management
in a blockchain based fog computing platform with trustless smart oracles. Future
Generation Computer Systems, 101, pp.747-759.
Maddar, H., Kammoun, W. and Youssef, H., 2018. Effective distributed trust management
model for Internet of Things. Procedia Computer Science, 126, pp.321-334.
Qureshi, K.N., Iftikhar, A., Bhatti, S.N., Piccialli, F., Giampaolo, F. and Jeon, G., 2020. Trust
management and evaluation for edge intelligence in the Internet of Things. Engineering
Applications of Artificial Intelligence, 94, p.103756.
Rehiman, K.R. and Veni, S., 2017, February. A trust management model for sensor enabled
mobile devices in IoT. In 2017 International Conference on I-SMAC (IoT in Social, Mobile,
Analytics and Cloud)(I-SMAC) (pp. 807-810). IEEE.
Isirova, K. and Potii, O., 2018, May. Decentralized public key infrastructure development

13. principles. In 2018 IEEE 9th International Conference on Dependable Systems, Services and
Technologies (DESSERT) (pp. 305-310). IEEE.
Tran, A.B., Lu, Q. and Weber, I., 2018, September. Lorikeet: A Model-Driven Engineering
Tool for Blockchain-Based Business Process Execution and Asset Management. In BPM
(Dissertation/Demos/Industry) (pp. 56-60).
Li, N., Varadharajan, V. and Nepal, S., 2019, July. Context-aware trust management system
for iot applications with multiple domains. In 2019 IEEE 39th International Conference on
Distributed Computing Systems (ICDCS) (pp. 1138-1148).
Malik, S., Dedeoglu, V., Kanhere, S.S. and Jurdak, R., 2019, July. Trustchain: Trust
management in blockchain and iot supported supply chains. In 2019 IEEE International
Conference on Blockchain (Blockchain) (pp. 184-193). IEEE.
Mehraj, S. and Banday, M.T., 2020, January. Establishing a zero trust strategy in the cloud
computing environment. In 2020 International Conference on Computer Communication
and Informatics (ICCCI) (pp. 1-6). IEEE.