Supply chain attacks in open source projects
The space of open source supply chain attacks is ever evolving and growing. There is extensive previous work identifying and collecting open source supply chain attacks, as well as identifying patterns in these attacks and proving that machine learning models may be able to detect these patterns. The aim of this thesis is to develop such a system and study its efficacy in detecting attacks. To ac