{
  "added_at": "2026-11-06",
  "arxiv_id": "1908.05459",
  "arxiv_version_reviewed": "v1",
  "authors": [
    "Sami Kairajärvi",
    "Andrei Costin",
    "Timo Hämäläinen"
  ],
  "bibtex_url": "https://awesomerea.org/papers/citations/paper-isadetect.bib",
  "code_url": null,
  "date_basis": "Published date in the Crossref record for the DOI listed on arXiv.",
  "date_basis_zh": "arXiv 所列 DOI 的 Crossref 记录中的发表日期。",
  "date_precision": "day",
  "description_en": "The paper builds open datasets and tools to identify CPU architecture and endianness in binary files and object code. It evaluates classifiers on executable code sections, reporting over 98% accuracy.",
  "description_zh": "论文构建开放数据集和工具，用于识别二进制文件及目标代码的 CPU 架构和字节序，并使用可执行文件的代码段评估分类器，报告准确率超过 98%。",
  "doi": "10.1145/3374664.3375742",
  "entry_url": "https://awesomerea.org/papers/paper-isadetect/",
  "entry_url_zh": "https://awesomerea.org/zh/papers/paper-isadetect/",
  "evidence_urls": [
    "https://arxiv.org/abs/1908.05459",
    "https://api.crossref.org/works/10.1145/3374664.3375742"
  ],
  "first_arxiv_date": "2019-08-15",
  "id": "paper-isadetect",
  "json_url": "https://awesomerea.org/papers/paper-isadetect/record.json",
  "kind": "research",
  "markdown_url": "https://awesomerea.org/papers/paper-isadetect/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/papers/paper-isadetect/index.md",
  "metadata_notes": "The DOI comes from the arXiv record, and the venue and date from Crossref.",
  "metadata_notes_zh": "DOI 来自 arXiv 记录，发表场所和日期来自 Crossref。",
  "pdf_url": "https://arxiv.org/pdf/1908.05459",
  "project_url": null,
  "publication_date": "2020-03-16",
  "publication_status": "conference-paper",
  "record_type": "paper",
  "runtime_tested": false,
  "scope_limitations_en": "Classifier results use code sections from executable binary files.",
  "scope_limitations_zh": "分类器结果基于可执行二进制文件的代码节。",
  "targets": [
    "binary"
  ],
  "title": "Towards usable automated detection of CPU architecture and endianness for arbitrary binary files and object code sequences",
  "title_zh": "面向任意二进制文件和目标代码序列的实用化 CPU 架构与字节序自动检测",
  "url": "https://doi.org/10.1145/3374664.3375742",
  "venue": "Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy",
  "verification": "source-reviewed",
  "verified_at": "2026-11-06",
  "why_fits_en": "Identifying the correct instruction set and endianness helps reverse-engineering tools interpret binary code accurately.",
  "why_fits_zh": "识别正确的指令集和字节序，有助于逆向工程工具准确解读二进制代码。",
  "year": 2020
}