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Add thesis topic: Dependency Fingerprinting from Partial Observations #86

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10 changes: 10 additions & 0 deletions master-thesis.md
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Expand Up @@ -127,6 +127,16 @@ trustworthy software systems.</p>
<li > <a href="https://github.com/rschwietzke/jmh-C2-compile">https://github.com/rschwietzke/jmh-C2-compile</a> </li>
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### Dependency Fingerprinting: Reconstructing Full Dependency Trees from Partial Observations
Contact: Aman Sharma, Eric Cornelissen

Package registries expose rich dependency metadata, but in some settings (e.g., private registries, zero-knowledge SBOMs, or obfuscated build manifests) only a subset of a package's dependencies is known.
This thesis investigates how much of a package's full dependency tree can be inferred from a partial observation of its dependencies.
Given a set of seed dependencies — a few known direct or transitive packages — the goal is to reconstruct the remaining dependency graph using statistical co-occurrence patterns mined from public registries.
The study will evaluate inference accuracy as a function of the number and "uniqueness" of seed packages, and compare reconstruction fidelity across ecosystems (Maven, NPM, Go, Rust).
The results have direct implications for the privacy guarantees of partial SBOM disclosures and zero-knowledge proofs over dependency sets.





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