Dark Web Vs Deep Web: Detailed Project Proposal and Plan

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This research proposal delves into the distinctions between the Dark Web and the Deep Web, addressing common misconceptions and providing a comparative analysis. The project aims to develop an understanding of information access restriction on the internet, using literature to clarify the operational differences and similarities. Key research questions explore whether the Dark Web and Deep Web are the same and what differentiates them. The methodology involves qualitative research, framework analysis, and secondary research to gather data and scrutinize existing literature. Ethical considerations include information hiding, accessibility limitations, and potential data misuse. The project plan includes deliverables, a work breakdown structure, risk analysis, a project schedule spanning 37 days, and a Gantt chart for visualizing the project timeline. This proposal outlines the necessary steps to complete a comprehensive research project on the Dark Web and Deep Web.
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Research Proposal Report
Name of the Student:
Student ID:
Name of the University:
Author’s note:
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1. Title: Dark Web Vs Deep Web
2. Rationale
2.1 Problem Domain
The dark web and deep web are relatively deployed for supporting the
restriction/management of the information access over the internet cloud (Ehney & Shorter,
2016). The project would involve the comparison of the dark web and deep web concept. Many
people get confused with the terms and consider them as same thing. However, the dark web and
deep web have different aspects. The problem domain of the study lies on the fact of
understanding and developing sort of consideration using the various literature available on the
topic.
2.2 Purpose and Justification
The main purpose of project is to develop an understanding of the effective formation
processing for limiting the internet access for the users. The analysis would provide the readers
with the understanding of the operations defining the implementation of the factors aligning the
comparison of the dark web and deep web (Gehl, 2016). The deep web and dark web forms the
limitation of the functions forming the alignment of the operations defining the implication of the
factors taking care of the successful integration management. The websites and their information
would be limited for the formation of the activities.
The dark web is the term aligned to the limitation of the activities forming the influential
development of the activities. The dark web would be performed for easing the utilization of the
factors forming the implication of the improved development process (Lacey & Salmon, 2015).
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The dark web limits a small portion of deep web for making it limited and inaccessible for the
users using standard browsers. The deep web is a term that can be given to anything that cannot
be accessed using the search engine. The hotwire searches are the most common example for
deep web.
3. Research Questions
The following are the research questions that the study would address,
Are dark web and deep web same thing?
What is the difference between dark web and deep web?
4. Theoretical Framework
The study would be based on the process of developing the utilization of the factors
defining the development of the improved functional and effective formation of the operations.
The various study materials from the various articles and books would be scrutinized for
developing the understanding of the final project deliverable. The framework would be
effectively formed for easing the development of the understanding the fact that dark web is a
small portion of deep web and should not be mixed with the main concept. The qualitative
research has been carried on for ensuring that the general analysis would be effectively formed
on the topic of dark web vs. deep web. The framework analysis would be effectively helpful for
evaluating the concept of the dark web and deep web functions and properties. The framework
would be effectively evaluated for developing the alignment of the improved and developed
functional alignment.
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5. Methodology
5.1 Research and System Development Methods
The system framework analysis would be effectively helpful for evaluating the concept of
the dark web and deep web functions and properties. The various study materials from the
various articles and books would be scrutinized for developing the understanding of the final
project deliverable. The framework would be effectively formed for easing the development of
the understanding the fact that dark web is a small portion of deep web and should not be mixed
with the main concept. Secondary research methods would be useful for the supplementary
management of the factors aligning the useful evaluation of the factors defining the smart
information gathering. The qualitative research has been carried on for ensuring that the general
analysis would be effectively formed on the topic of dark web vs. deep web.
5.2 System Design Methods
Figure 1: VPN configuration for Deep Web
(Source: Catakoglu, Balduzzi & Balzarotti, 2017, pp-1740)
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The study of the above system design would allow the understanding of the dark and
deep web functionality. The deployment of the VPN based analysis would be helpful for
ensuring that the effective and smart alignment would allow the utilization of the operations. The
dark web is the term aligned to the limitation of the activities forming the influential
development of the activities. The dark web would be performed for easing the utilization of the
factors forming the implication of the improved development process. The dark web limits a
small portion of deep web for making it limited and inaccessible for the users using standard
browsers. The deep web is a term that can be given to anything that cannot be accessed using the
search engine. The hotwire searches are the most common example for deep web.
5.3 Ethical Issues
The ethical issues related to the dark web and deep web are,
1. Hiding information from the user so that the website cannot be accessed from
standard browser
2. Limiting the accessibility as per the standards of the search engine
3. Supporting the probable misuse of the data by the person who would be able to
access dark web data
6. Project Plan
6.1 Deliverables
The deliverables for the Research Project on Dark Web vs. Deep Web would include,
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Accumulated resources that would be required for the execution of the project
activities
Proper data required for collection and execution of the final summary
development
Final report aligning with the development of the effective and smart processing
6.2 Work Breakdown Structure
The complete project plan would be divided into three work packages of research and
development, data collection, and final report. Each of the work packages would involve some
specific work activities such as
Research and Development: It is the first phase of the research project involving the
initiation of the project activities and accumulating the resources required for the completion of
the project activities. It would involve the activities of resource accumulation, literature review,
research questionnaire, preparation of proposal, and further research studies.
Data Collection: It is the second phase of the research project involving the collection of
the required data through various surveys and questionnaire filling required for the completion of
the project activities. It would involve the activities of required information is sorted, surveys are
executed, analysis of data is done, and summary is made.
Final Report: It is the last phase of the research project involving the completion of the
project activities and developing the final report aligning for the completion of the project
activities. It would involve the activities of all information is accumulated, final report structure
is made, documentation of report, submission of the report, and sign off.
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Research Project on Dark
Web vs. Deep Web
Research and
Development
Resource
Accumulation
Literature Review
Research
Questionnaire
Preparation of
Proposal
Further Research
Studies
Data Collection
Required Information
is sorted
Surveys are
executed
Analysis of data is
done
Summary is made
Final Report
All information is
accumulated
Final report
structure is made
Documentation of
report
Submission of the
report
Sign off
Figure 2: Work Breakdown Structure of Research Project
(Source: Created by the author)
6.3 Risk Analysis
The risk analysis is the method of identifying the probable risk factors of the project and
developing some mitigation strategy for them. The risk assessment for the project of Research
Project on Dark Web vs. Deep Web is given below,
Risk Factor Probability Severity Mitigation
Delay: it is the most primary risk factor causing the
impact on the execution of the project and its activity High Low Accept
Over budget: it is another major risk factor impacting the
completion of the project due to the shortage of resources Medium Medium Avoid
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Quality Issues: The lack of proper information might
result in causing the problems in data collection for the
study summary
Low High Mitigate
Table 1: Risk Analysis Table for Research Project
6.4 Duration
The project would run for 37 days and would be divided into three phases of research and
development, data collection, and final report. The following table would show the project
duration,
WBS Task Name Duration Start Finish
0 Research Project on Dark Web vs. Deep Web 37 days Mon 9/3/18 Tue 10/23/18
1 Research and Development 16 days Mon 9/3/18 Mon 9/24/18
1.1 Resource Accumulation 5 days Mon 9/3/18 Fri 9/7/18
1.2 Literature Review 4 days Mon 9/10/18 Thu 9/13/18
1.3 Research Questionnaire 2 days Fri 9/14/18 Mon 9/17/18
1.4 Preparation of Proposal 2 days Tue 9/18/18 Wed 9/19/18
1.5 Further Research Studies 3 days Thu 9/20/18 Mon 9/24/18
2 Data Collection 14 days Tue 9/25/18 Fri 10/12/18
2.1 Required Information is sorted 4 days Tue 9/25/18 Fri 9/28/18
2.2 Surveys are executed 7 days Mon 10/1/18 Tue 10/9/18
2.3 Analysis of data is done 2 days Wed 10/10/18 Thu 10/11/18
2.4 Summary is made 1 day Fri 10/12/18 Fri 10/12/18
3 Final Report 7 days Mon 10/15/18 Tue 10/23/18
3.1 All information is accumulated 1 day Mon 10/15/18 Mon 10/15/18
3.2 Final report structure is made 1 day Tue 10/16/18 Tue 10/16/18
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3.3 Documentation of report 4 days Wed 10/17/18 Mon 10/22/18
3.4 Submission of the report 1 day Tue 10/23/18 Tue 10/23/18
3.5 Sign off 0 days Tue 10/23/18 Tue 10/23/18
Table 2: Project Schedule for the Research Project on Dark Web vs. Deep Web
6.5 Gantt Chart
The following is the proposed Gantt chart for the research project of comparing dark web
and deep web,
ID Task
Mode
WBS Task Name Duration Start Finish
0 0 Research Project on Dark Web vs. Deep Web37 days Mon 9/3/18 Tue 10/23/18
1 1 Research and Development 16 days Mon 9/3/18 Mon 9/24/18
2 1.1 Resource Accumulation 5 days Mon 9/3/18 Fri 9/7/18
3 1.2 Literature Review 4 days Mon 9/10/18 Thu 9/13/18
4 1.3 Research Questionnaire 2 days Fri 9/14/18 Mon 9/17/18
5 1.4 Preparation of Proposal 2 days Tue 9/18/18 Wed 9/19/18
6 1.5 Further Research Studies 3 days Thu 9/20/18 Mon 9/24/18
7 2 Data Collection 14 days Tue 9/25/18 Fri 10/12/18
8 2.1 Required Information is sorted 4 days Tue 9/25/18 Fri 9/28/18
9 2.2 Surveys are executed 7 days Mon 10/1/18 Tue 10/9/18
10 2.3 Analysis of data is done 2 days Wed 10/10/18 Thu 10/11/18
11 2.4 Summary is made 1 day Fri 10/12/18 Fri 10/12/18
12 3 Final Report 7 days Mon 10/15/18 Tue 10/23/18
13 3.1 All information is accumulated 1 day Mon 10/15/18 Mon 10/15/18
14 3.2 Final report structure is made 1 day Tue 10/16/18 Tue 10/16/18
15 3.3 Documentation of report 4 days Wed 10/17/18 Mon 10/22/18
16 3.4 Submission of the report 1 day Tue 10/23/18 Tue 10/23/18
17 3.5 Sign off 0 days Tue 10/23/18 Tue 10/23/18 10/23
S S S S S S S S S S
Aug 26, '18 Sep 9, '18 Sep 23, '18 Oct 7, '18 Oct 21, '18 Nov 4, '18
Figure 3: Gantt chart of the Research Project on Dark Web vs. Deep Web
(Source: Created by the author)
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Bibliography
Bell, J. (2014). Doing Your Research Project: A guide for first-time researchers. McGraw-Hill
Education (UK).
Catakoglu, O., Balduzzi, M., & Balzarotti, D. (2017, April). Attacks landscape in the dark side of
the web. In Proceedings of the Symposium on Applied Computing (pp. 1739-1746).
ACM.
Chertoff, M., & Simon, T. (2015). The impact of the Dark Web on Internet governance and
cyber security.
Ehney, R., & Shorter, J. D. (2016). DEEP WEB, DARK WEB, INVISIBLE WEB AND THE
POST ISIS WORLD. Issues in Information Systems, 17(4).
Gehl, R. W. (2016). Power/freedom on the dark web: A digital ethnography of the Dark Web
Social Network. new media & society, 18(7), 1219-1235.
Lacey, D., & Salmon, P. M. (2015, August). It’s dark in there: Using systems analysis to
investigate trust and engagement in dark web forums. In International Conference on
Engineering Psychology and Cognitive Ergonomics (pp. 117-128). Springer, Cham.
Maddox, A., Barratt, M. J., Allen, M., & Lenton, S. (2016). Constructive activism in the dark
web: cryptomarkets and illicit drugs in the digital ‘demimonde’. Information,
Communication & Society, 19(1), 111-126.
O'Leary, Z. (2017). The essential guide to doing your research project. Sage.
Thomas, G. (2017). How to Do Your Research Project: A Guide for Students. Sage.
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Weimann, G. (2016). Going dark: Terrorism on the dark Web. Studies in Conflict &
Terrorism, 39(3), 195-206.
Weimann, G. (2016). Terrorist migration to the dark web. Perspectives on Terrorism, 10(3), 40-
44.
Zulkarnine, A. T., Frank, R., Monk, B., Mitchell, J., & Davies, G. (2016, September). Surfacing
collaborated networks in dark web to find illicit and criminal content. In Intelligence and
Security Informatics (ISI), 2016 IEEE Conference on (pp. 109-114). IEEE.
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