{
  "added_at": "2026-10-20",
  "arxiv_id": "2608.16403",
  "arxiv_version_reviewed": "v2",
  "authors": [
    "Chuan Sheng",
    "Shan Jiang",
    "Jianming Zhao",
    "Yu Yao"
  ],
  "bibtex_url": "https://awesomerea.org/papers/citations/paper-pvparser.bib",
  "code_url": null,
  "date_basis": "The official CCS 2026 accepted-paper list and arXiv v2 establish acceptance; a publication date was not verified.",
  "date_basis_zh": "CCS 2026 官方录用名单与 arXiv v2 确认录用；未核实正式出版日期。",
  "date_precision": "year",
  "description_en": "PVParser recovers process-variable layouts from industrial traffic and historian records. Periodic-pattern detection locates relevant payloads; a modified Monte Carlo tree search proposes field boundaries, types and endianness, then aligns decoded sequences with observed process variables.",
  "description_zh": "PVParser 根据工业流量与历史过程记录恢复过程变量布局：周期模式检测定位相关载荷，改进的蒙特卡洛树搜索推断字段边界、类型和字节序，再将解码序列与已观察的过程变量对齐。",
  "doi": null,
  "entry_url": "https://awesomerea.org/papers/paper-pvparser/",
  "entry_url_zh": "https://awesomerea.org/zh/papers/paper-pvparser/",
  "evidence_urls": [
    "https://arxiv.org/abs/2608.16403v2",
    "https://arxiv.org/html/2608.16403v2",
    "https://www.sigsac.org/ccs/CCS2026/program/accepted-papers.html"
  ],
  "first_arxiv_date": "2026-08-17",
  "id": "paper-pvparser",
  "json_url": "https://awesomerea.org/papers/paper-pvparser/record.json",
  "kind": "research",
  "markdown_url": "https://awesomerea.org/papers/paper-pvparser/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/papers/paper-pvparser/index.md",
  "metadata_notes": "ArXiv v2 and the CCS 2026 accepted list name four authors; v1 listed eight. The author-supplied DOI 10.1145/3830454.3846584 did not resolve at review, and no publication date or proceedings container was verified.",
  "metadata_notes_zh": "arXiv v2 与 CCS 2026 录用名单均列四位作者，v1 则列八位。作者提供的 DOI 10.1145/3830454.3846584 在复核时未解析成功，正式出版日期及论文集信息尚未核实。",
  "pdf_url": "https://arxiv.org/pdf/2608.16403v2",
  "project_url": null,
  "publication_date": null,
  "publication_status": "conference-accepted",
  "record_type": "paper",
  "runtime_tested": false,
  "scope_limitations_en": "Payload localization uses SCADA-N, SWaT and WADI; field/semantic recovery uses SWaT and WADI. Recovery depends on traffic and historian observations plus recurrent, stable plaintext byte layouts. Encrypted traffic, bit-level buses and event-driven messages whose PV lists vary are outside scope. It complements protocol dissectors.",
  "scope_limitations_zh": "载荷定位评测采用 SCADA-N、SWaT 与 WADI；字段及语义恢复评测采用 SWaT 与 WADI。恢复依赖流量和历史记录，以及重复出现、布局稳定的明文字节载荷；加密流量、位级总线及变量列表动态变化的事件消息不在范围内。该方法补充协议解析器。",
  "targets": [
    "protocol"
  ],
  "title": "Recovering Process Variables from Industrial Network Traffic via Search-Based Optimization",
  "title_zh": "基于搜索优化从工业网络流量恢复过程变量",
  "url": "https://arxiv.org/abs/2608.16403",
  "venue": "CCS 2026",
  "verification": "source-reviewed",
  "verified_at": "2026-10-20",
  "why_fits_en": "Infers deployment-specific message fields and semantics from observed communication instead of supplied format specifications.",
  "why_fits_zh": "从通信观测中推断部署相关的消息字段和语义，而非依赖既有格式说明。",
  "year": 2026
}