通过异质数据融合和知识映射进行固件安全分析的先进技术
Peng Xiao1, Linjiang Xie1, Feilu Hang1
1Information Center of China Southern Power Grid Yunnan Power Grid Co., Ltd, Kunming, Yunnan, 650000, China.
PloS one
|April 11, 2025
概括
这项研究通过融合异质数据和使用知识映射来增强固件安全分析. 新方法显著提高了系统稳定性和数据安全性的预测准确性和运营效率.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 数据科学数据科学数据科学
背景情况:
- 固件安全对于系统稳定性和用户数据保护至关重要.
- 现有的固件安全分析方法缺乏全面的数据基础.
研究的目的:
- 通过异质数据融合和知识映射来推进固件安全分析.
- 创建一个更准确,更全面的数据基础,用于固件安全.
主要方法:
- 预处理固件安全分析知识图数据 (清理,细分,分类).
- 使用异质信息计算固件安全状态值.
- 提取知识图的特征和注释关系条目.
- 应用知识映射用于本体学集成和融合.
主要成果:
- 提出的方法实现了非常高的损失函数和F1指数值.
- 知识图形演变的预测准确性接近100%,运营效果良好.
- 实现了固件安全分析知识的有效组织和表现.
结论:
- 开发的固件安全分析知识图表构建技术是有效的.
- 不同质的数据融合和知识映射显著改善了固件安全分析.
- 该方法为增强设备安全和数据保护提供了坚实的基础.
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