View Proposal

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Proposer

Hani Ragab

Title

Machine Learning for Linux Malware Detection

Goal

Investigate the application of machine learning to Linux Malware

Description

This project will review existing works for Linux malware detection. It will then investigate how to apply machine learning techniques to it. This will include identifying possible features that can characterise malware (e.g. subsets of binary code) then applying suitable techniques to them. 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/networking-and-servers/learning-linux-binary-analysis, - https://www.packtpub.com/big-data-and-business-intelligence/building-machine-learning-systems-python-second-edition

Resources

https://www.nostarch.com/malware, https://www.packtpub.com/networking-and-servers/learning-linux-binary-analysis

Background

Good understanding of how Linux works.

Url

External Link

Difficulty Level

Variable

Ethical Approval

None

Number Of Students

5

Supervisor

Hani Ragab

Keywords

Degrees