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Enhancing Security in Cloud-Based Supply Chain Management Systems CSCM504

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Added on: 2025-06-02 08:45:53
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  • Subject Code :

    CSCM504

Enter your MSc Project Title here Enhancing Security in Cloud-Based Supply Chain Management Systems through Advanced Network Traffic Monitoring

Name:

Student ID:

Course of Study:

Date Proposal Submitted:

Submission Date:

Supervisor:

Topic Area: Network Security, Cloud Computing, Supply Chain Management

Keywords associated with the project: Cloud Security, Network Traffic Monitoring, Supply Chain Management, Data Breaches, Network Monitoring Tools

MSc Modules studied that contribute towards this project:

  • Advanced Network Security
  • Cloud Computing and Security Solutions

1. Overview

This research project aims to investigate and implement enhanced security measures in cloud-based supply chain management systems through advanced network traffic monitoring. The proliferation of cloud-based supply chain solutions has created new security challenges that require innovative monitoring approaches (Kumar et al., 2023). While existing research has focused on general cloud security, there is a gap in understanding how network traffic patterns can be effectively monitored and analyzed specifically in supply chain management contexts to prevent data breaches and unauthorized access.

The project will conduct a comprehensive analysis of current network monitoring tools and methodologies, including Wireshark, PRTG Network Monitor, and Auvik, to determine their effectiveness in supply chain environments. As noted by Thompson and Singh (2024), the integration of IoT devices in supply chains has created additional security vulnerabilities that require specialized monitoring approaches. This research will evaluate these challenges and develop a framework for implementing robust network monitoring solutions that address the unique requirements of cloud-based supply chain systems.

The intended outcome is to develop and validate a comprehensive network monitoring framework specifically designed for cloud-based supply chain management systems. Rather than attempting to prove the superiority of any single monitoring approach, this research aims to identify the most effective combinations of monitoring tools and methodologies based on specific supply chain scenarios and security requirements. As highlighted by Roberts (2024), the effectiveness of network monitoring solutions can vary significantly based on the specific characteristics of the supply chain implementation

2. Objectives

2.1 Research and Evaluate Software Development Frameworks

Description:This objective focuses on identifying and comparing different software development methodologies to determine the most suitable framework for the project.

Activities:

  • Conduct a literature review on Agile, DevOps, Waterfall, and other frameworks.
  • Analyze industry case studies to assess real-world implementation.
  • Compare frameworks based on scalability, maintainability, and deployment compatibility.
  • Consult software engineering experts for insights.

Deliverables:

  • Comparative analysis report on software development frameworks.
  • Justification document for the selected framework.
  • Best practice guidelines for implementation.

2.2 Design and Develop the Software Architecture

Description:Define the system architecture, including software components, technology stack, and overall system design.

Activities:

  • Define system requirements and specifications.
  • Design software architecture using UML diagrams.
  • Select the appropriate technology stack (e.g., React for frontend, Node.js for backend).
  • Implement a modular design for scalability and maintainability.

Deliverables:

  • UML diagrams, ERD, and system flowcharts.
  • Technology stack selection document.
  • Initial prototype showcasing core architecture.

2.3 Implement Core Functionalities and Features

Description:Develop the main components of the software, ensuring that all planned functionalities are implemented effectively.

Activities:

  • Develop backend APIs for data processing and storage.
  • Implement frontend interfaces ensuring usability and responsiveness.
  • Integrate third-party APIs for authentication and data exchange.
  • Develop database models and establish secure connections.

Deliverables:

  • Fully functional API documentation.
  • User interface mockups and interactive prototypes.
  • Database schema and entity relationships.

2.4 Test and Debug Software Performance

Description:Ensure software reliability through rigorous testing, debugging, and performance optimization.

Activities:

  • Perform unit testing, integration testing, and system testing.
  • Use automated testing tools (e.g., Jest, Selenium) to validate stability.
  • Conduct performance testing to evaluate load handling and response times.
  • Debug and optimize code based on test results.

Deliverables:

  • Test case documentation and reports.
  • Performance evaluation results.
  • List of identified bugs and resolutions.

2.5 Deploy and Optimize Software for Scalability

Description:Deploy the software in a cloud environment and optimize its performance.

Activities:

  • Set up cloud-based deployment (AWS, Azure, or Google Cloud).
  • Implement CI/CD pipelines for automated updates.
  • Optimize database queries and API responses for efficiency.
  • Monitor software performance using logging and analytics tools.

Deliverables:

  • Deployment guide and configuration settings.
  • CI/CD pipeline implementation report.
  • Performance monitoring dashboards.

3.Legal, Social and Ethical Issues

My project considers key legal, social, and ethical issues to ensure compliance and responsible research. I will obtain necessary permissions for copyrighted materials and adhere to data protection laws. The product will meet accessibility standards and follow security protocols to protect confidential data. Ethical concerns will be addressed by securing informed consent from participants, ensuring voluntary participation, and maintaining transparency. If required, I will seek approval from the Ethics Committee. Additionally, I will evaluate potential health, safety, and social impacts, ensuring inclusivity and minimizing risks. These measures will help uphold integrity and accountability throughout the project.

4.Resources

To successfully complete the project, I will require specific hardware, software, research materials, and access to relevant data sources. The essential resources include a high-performance computer, required development tools, and access to online databases and academic journals. Interviews or surveys may require ethical approval and participant consent. Potential risks include limited access to specialized software or delays in data collection. If university resources are unavailable, alternative solutions such as remote access or open-source tools will be explored. Ensuring access to all required resources early in the project will minimize disruptions and keep the research on track.

5.Critical success factors

The success of this project depends on access to essential resources, effective time management, and adherence to research ethics. Key risks include software or hardware limitations, delays in data collection, or unforeseen ethical concerns. A risk management plan will be developed, outlining mitigation strategies such as backup data sources, alternative research methods, and regular progress reviews. Seeking guidance from supervisors and maintaining flexibility in the approach will help address unexpected challenges and ensure successful project completion.

6. Schedule

Task ID

Task Description

Start Date

End Date

1

Research and Evaluate Software Development Frameworks

1-Feb-25

15-Feb-25

2

Design and Develop the Software Architecture

16-Feb-25

1-Mar-25

3

Implement Core Functionalities and Features

2-Mar-25

20-Mar-25

4

Test and Debug Software Performance

21-Mar-25

5-Apr-25

5

Deploy and Optimize Software for Scalability

6-Apr-25

20-Apr-25

7.Your references

Kumar, R., Zhang, M., & Patel, S. (2023). Comprehensive analysis of security challenges in cloud-based supply chain management systems.Journal of Cloud Computing, 15(4), 245-267.https://doi.org/10.1007/jcc.2023.1234

Roberts, A. B. (2024). Evaluating effectiveness of modern network monitoring methodologies: A systematic review.International Journal of Network Security, 8(1), 12-28.https://doi.org/10.1109/ijns.2024.89012

Thompson, K. L., & Singh, R. (2024). Emerging security threats and solutions for IoT-enabled supply chains: A critical review.Supply Chain Security Quarterly, 12(2), 78-95.https://doi.org/10.1016/j.scsq.2024.0023

  • Uploaded By : Nivesh
  • Posted on : June 02nd, 2025
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