Details - MACS Project System

Proposer: Hani Ragab
Title: Machine Learning for Windows Malware Analysis
Goal: Analyse and compare AI-based proposals for malware detection
Description: This project will review several existing machine learning-based malware analysis and critically appraise them. A comparative study would allow to draw conclusions on the suitability of the different techniques for malware analysis. The following books are in the library, you might want to have a look at them beforehand: - https://www.nostarch.com/malware, - https://www.packtpub.com/big-data-and-business-intelligence/building-machine-learning-systems-python-second-edition
Resources: https://www.nostarch.com/malware,
Background: Good understanding of how Operating Systems work.
Url: External Link
Difficulty Level: Challenging
Ethical Approval: None
Number Of Students: 5
Supervisor: Hani Ragab
Keywords
Degrees: 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 Data Science
Bachelor of Science in Computer Science (Cyber Security)
Postgraduate Diploma in Artificial Intelligence
Bachelor of Science in Statistical Data Science
BSc Data Sciences
MSc Applied Cyber Security