{
  "abstract": "Complex socio-technical systems periodically experience acute disruptions where application-layer vulnerabilities and civic-layer data aggregation initiatives intersect. The October 2026 PHP2Shell incident (CVE-2026-109618 / CVE-2026-109619) highlighted how automated, symbolic code analysis can uncover long-standing memory-management flaws—specifically within the Zend Engine's zend_bailout() stack-unwinding mechanism—without generating historical fuzzing footprints. This paper presents an unassailable operational methodology designed to achieve three objectives: (1) deconstruct the runtime failure mode of legacy C stack unwinding in persistent worker pools; (2) model systemic information hydrodynamics to explain how rapid application-layer remediation accelerates organizational demand for alternative observational surfaces, such as centralized utility registers and wireless IoT telemetry; and (3) establish a preventive telemetry governance framework equipping engineering and audit teams with non-attributional SIEM hunting queries, dynamic data-bucket isolation patterns, and zero-trust ingestion standards to prevent unintended side-channel correlation of critical civic datasets.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "name": "Kai howell",
      "orcid": "0009-0005-5604-9844"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bq6c3t6c6d47n.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23590003",
  "fulltext_url": null,
  "id": "bq6c3t6c6d47n",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23590003",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": "https://zenodo.org/api/records/23590003/files/Architectural_Resilience_and_Telemetry_Governance__Preventing_Unintended_Data_Correlation_Across_Runtime_Executions_and_Civic_Data_Platforms.pdf/content",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-23",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/bq6c3t6c6d47n.ris",
  "sources": [
    {
      "first_seen": "2026-11-06T12:21:43Z",
      "native_id": "23590003",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23590003"
    }
  ],
  "subjects": [],
  "title": "Architectural Resilience and Telemetry Governance: Preventing Unintended Data Correlation Across Runtime Executions and Civic Data Platforms",
  "title_text": "Architectural Resilience and Telemetry Governance: Preventing Unintended Data Correlation Across Runtime Executions and Civic Data Platforms",
  "type": "preprint",
  "updated_at": "2026-11-06T12:21:43Z",
  "url": "https://research.draconitic.com/paper/bq6c3t6c6d47n",
  "venue": "Zenodo",
  "versions": []
}