View Proposal

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Proposer

Marwan Fuad

Title

Plagiarism Detection in Student Coursework Using Digital Forensics

Goal

To develop a tool to detect plagiarism

Description

Plagiarism detection in academic settings has traditionally relied on textual comparison tools (e.g. TurnItIn), which often fail to catch more sophisticated forms of academic plagiarism. This project proposes to incorporate digital forensics to detect plagiarism. The proposed tool will analyze the file metadata for signs of content manipulation, such as creation and modification timestamps, reuse, file paths, and embedded data (e.g., hidden images and embedded objects), to uncover potential evidence of plagiarism. By examining these aspects, the tool will identify discrepancies that may indicate that a file has been copied, altered, or otherwise manipulated. This approach will offer an additional layer of scrutiny, making it more difficult for students to bypass plagiarism checks. The final deliverable will be a functional prototype that can be used by educational institutions to enhance the integrity of student assessments

Resources

Autopsy, and FTK Imager

Background

Url

Difficulty Level

Moderate

Ethical Approval

Full

Number Of Students

1

Supervisor

Marwan Fuad

Keywords

digital forensics, plagiarism detection, file metadata analysis, academic integrity

Degrees

Bachelor of Science in Computer Science
Master of Science in Computer Science for Cyber Security
Master of Science in Network Security
Bachelor of Science in Computer Science (Cyber Security)