<p dir="ltr">Our research revolves around the evolving landscape of Open-Source Software (OSS) supply chains, emphasizing their critical role in contemporary software development while investigating the escalating security concerns associated with their integration. As OSS continues to shape the software ecosystem, our research acknowledges the paradigm shift in the software supply chain, highlighting its complexity and the associated security challenges. Focusing on Debian packages, we employ advanced network science methods to comprehensively assess the structural dynamics and vulnerabilities within the OSS supply chain. The study is motivated by the imperative to understand, model, and mitigate security risks from interconnected software components.</p><p dir="ltr">Our research questions delve into 1) identifying high-risk packages 2) comparing risk profiles between source and build stages and 3) predicting future vulnerabilities. Data collection involves collecting source code repositories, build-info information, and vulnerability data of Debian packages. Leveraging a multifaceted methodology, we perform the following things: graph construction, subsampling, metrics creation, explorative data analysis, and statistical investigations on the Debian package network. This statistical approach integrates the Wilcoxon test, Chi-Square test, and advanced network dynamics modeling with machine learning, to explore evolving trends and correlations between different stages of the OSS supply chain.</p><p dir="ltr">Our goals include providing actionable insights for industry practitioners, policymakers, and developers to enhance risk management in the OSS supply chain. The expected outcomes encompass an enriched understanding of vulnerability propagation, the identification of high-risk packages, and the comparison of network-based risk metrics against traditional software engineering measures. Ultimately, our research contributes to the ongoing discourse on securing open-source ecosystems, offering practical strategies for risk mitigation and fostering a safer and more resilient OSS supply chain.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/26072818 |
| Date | 24 June 2024 |
| Creators | Sahithi Kasim (18859078) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/MODELING_RISK_IN_THE_FRONT-END_OF_THE_OSS_DEBIAN_SUPPLY-CHAIN_USING_MODELS_OF_NETWORK_PROPAGATION/26072818 |
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