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相关概念视频

Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...

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一个数据集的windows恶意软件执行跟踪跟踪.

Razvan Raducu1, Alain Villagrasa-Labrador1, Ricardo J Rodríguez1

  • 1Computer Science and Systems Engineering Department, Engineering Research Institute of Aragón (I3A), University of Zaragoza, Spain.

Data in brief
|December 9, 2025
PubMed
概括

一个新的Windows恶意软件执行痕迹数据集为网络安全研究提供了详细的行为数据. 本资源有助于开发和基准测试先进的恶意软件检测技术.

科学领域:

  • 网络安全 网络安全
  • 恶意软件分析 恶意软件分析
  • 数据科学数据科学数据科学

背景情况:

  • 恶意软件对数字安全构成重大和不断变化的威胁.
  • 有效的恶意软件检测需要详细的执行跟踪数据.
  • 现有的数据集往往缺乏必要的深度和多样性.

研究的目的:

  • 为了介绍一个全面的数据集的Windows恶意软件执行痕迹.
  • 为了解决当前公开可用的恶意软件数据集的局限性.
  • 为了支持恶意软件检测和分析方面的进步.

主要方法:

  • 在受控的虚拟化环境中对恶意软件样本进行自动化动态分析 (Windows 10 上的 CAPEv2 沙盒).
  • 使用MALVADA框架对原始沙箱报告进行处理,用于过,结构,标签和标准化.
  • 生成了31,844个标准化的JSON执行跟踪文件.

主要成果:

  • 一个大规模的数据集,包含31,844个详细的Windows恶意软件执行痕迹.
  • 每个痕迹包括静态元数据,动态行为信息和标签字段.
  • 标准化的JSON格式可与数据分析和机器学习管道进行集成.
关键词:
行为执行跟踪 行为执行跟踪恶意软件的动态分析.系统调用系统调用.这是Windows的API.

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结论:

  • 这一数据集显著增强了恶意软件研究的资源.
  • 它适用于开发和基准测试恶意软件检测方法,行为聚类和自动标签.
  • 标准化结构促进了更广泛的采用和与其他研究数据的结合.