Qubes OS Security in the Public Record
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Abstract (arXiv)
Qubes OS is a revealing case for security measurement because its architecture makes component boundaries security-relevant. We present a protocol-driven longitudinal analysis of 109 public Qubes Security Bulletins (QSBs, 2011--2025), the official Qubes-maintained Xen Security Advisory (XSA) tracker, and a secondary vulnerability-event sensitivity series. The study measures the public advisory record rather than latent vulnerability incidence or realized compromise. The methodology combines audited deterministic component attribution, change-point analysis, overdispersion checks, severity-proxy weighting, censoring sensitivity, documentary latency lower bounds, and baseline-aware evaluation of vulnerability discovery models (VDMs). The results show persistent upstream dependence in that public record. On the official tracker, 113 of 464 XSAs affect Qubes; under primary labeling, 87 of 109 QSBs (79.8%) are attributable to Xen, CPU/microarchitectural, or other upstream components rather than Qubes-core logic, with similar results under weighted views. Change-point analyses identify 2015Q1 as the dominant break in the quarterly advisory series, while post-2018 annual disclosure rates are statistically flat. Poisson inferences are stable under dispersion diagnostics and negative-binomial sensitivity checks. The attribution codebook performs well in a stratified 30-QSB audit, and S-shaped VDMs fit descriptively but do not significantly outperform a rolling-mean baseline in short-horizon forecasts. Overall, the Qubes public advisory record appears stable, but not quiet: disclosure activity plateaus at a higher level than in the earliest years, while the observed burden remains concentrated in upstream trust anchors.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 34 references that are in the map. First posted on arXiv 16 Jul 2026.
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6 of 34 references.
References · 6
- 2018A Systematic Evaluation of Transient Execution Attacks and Defensescited by 4
- 2020Real time Detection of Spectre and Meltdown Attacks Using Machine Learningcited by 2
- 2013A Systematically Empirical Evaluation of Vulnerability Discovery Models: a Study on Browsers' Vulnerabilitiescited by 1
- 2018MeltdownPrime and SpectrePrime: Automatically-Synthesized Attacks Exploiting Invalidation-Based Coherence Protocolscited by 1
- 2025Goldilocks Isolation: High Performance VMs with Ederacited by 1
- 2025Pre-cache: A Microarchitectural Solution to prevent Meltdown and Spectrecited by 1
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