View Proposal
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Proposer
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Idris Ibrahim
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Title
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Image Steganography Creation and Detection Using Machine Learning
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Goal
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To implement image steganography for hiding metadata, develop a machine learning model to detect steganographic images, and evaluate its effectiveness in a computer security context.
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Description
- Image Steganography Creation and Detection is about hiding secret information inside images and also finding out whether an image contains hidden information. This project investigates image steganography by hiding metadata within digital images and using machine learning to detect steganographic content. It demonstrates the security risks of covert data hiding and the role of machine learning in steganalysis.
- Resources
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Background
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Basic knowledge of programming, machine learning, and computer security is required. Familiarity with digital images and Python-based ML tools is desirable.
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Url
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Difficulty Level
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High
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Ethical Approval
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InterfaceOnly
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Number Of Students
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1
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Supervisor
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Idris Ibrahim
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Keywords
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Degrees
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Bachelor of Science in Computer Science
Master of Science in Artificial Intelligence
Master of Science in Computer Science for Cyber Security
Master of Science in Computing (2 Years)
Bachelor of Science in Computing Science
Bachelor of Science in Computer Science (Cyber Security)
MSc Applied Cyber Security