View Proposal


Proposer
Marwan Fuad
Title
Hidden in Plain Sight – Unintended Forensic Data from Images and Videos
Goal
Create an app, an interactive tool, demo
Description
With the proliferation of social media, many users upload images and videos without paying much attention to the “data in the background” – data that reveals information the user did not intend to reveal; sound coming from TV playing a program in a foreign language, untidy furniture, dog ball on the floor that suggests there’s a dog in the place, etc. The objective of the project is to build a system that automatically analyses the image or video, extracts “interesting” data, and makes forensic suggestions/conclusions on what this data indicates, in order to better profile the person who uploaded the image or video The project is typically for two students; one with experience in cyber security, the other with experience in AI or data science.
Resources
variable
Background
Url
Difficulty Level
Variable
Ethical Approval
Full
Number Of Students
2
Supervisor
Marwan Fuad
Keywords
cyber security, ai, data science, digital forensics
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Science in Artificial Intelligence
Master of Science in Computer Science for Cyber Security
Master of Science in Data Science
Master of Science in Network Security
Bachelor of Science in Computer Science (Cyber Security)
BSc Data Sciences