View Proposal

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Proposer

Idris Ibrahim

Title

Analysing Deep fake videos and images

Goal

Look at the Url >> Proposed Projects 2023-24 >>Project (4)

Description

Examining fake videos and images, commonly known as deep fakes, on social media has become a notable concern. Due to the widespread availability of technology to a broad audience, there has been a noticeable increase in the creation and distribution of deep fake videos across various social media platforms. The term "deep fake" refers to manipulated digital media where an individual's image or video is replaced with the likeness of another person. This trend presents a significant challenge to contemporary society, not only due to the rising prevalence of deep fakes but also because they are used to spread misleading information. Recent research emphasises the broad circulation of deep fake content on social platforms, emphasising the need for urgent development of effective detection methods to tackle this growing problem.

Resources

Look at the Url >> Proposed Projects 2023-24 >>Project (4)

Background

Programming proficiency, familiarity with digital forensics, expertise in computer vision, proficiency in machine learning, understanding of cybersecurity, skills in data science, knowledge in social media analysis, proficiency in image and video processing.

Url

External Link

Difficulty Level

Variable

Ethical Approval

Full

Number Of Students

1

Supervisor

Idris Ibrahim

Keywords

digital forensics, computer vision, machine learning, cybersecurity, data science, social media analysis, image and video processing.

Degrees

Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computing (2 Years)
Master of Science in Software Engineering