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Found 3 matching student topics

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Security analysis of open-source software

Several open-source projects drive modern-day IT applications. However, some open-source projects get compromised by malicious attackers, who include malware to the code to compromise the security of the application users.This project will investigate approaches for securing the open-source software.

Study level
Honours
Faculty
Faculty of Science
School
School of Computer Science

Systematic evaluation towards the analysis of open-source supply chain on ML4SE tasks

Applying machine learning algorithms to source code related SE task is rapidly developing and attracts the attention from both researchers and industry engineers. While there are many program languages available, applying such techniques, i.e., the representation learning models, for different languages may achieve different performance. Particularly, they all have their own strict syntax, which determines the abstract syntax tree. Thus, a lot of different open-source supply chain are available, for example the parsing tools are used to build AST from …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Science
School
School of Computer Science

Cybersecurity for open-source software using machine learning and AI

People are increasingly using open-source software in businesses and industries. These software programs are made by a community of developers and are managed by platforms like PyPI and npm. However, there is a worry about the safety of these programs because hackers add harmful code to compromise security and steal important data. This project explores approaches to detect harmful open-source projects using machine learning and AI.

Study level
Honours
Faculty
Faculty of Science
School
School of Computer Science

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