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English(EN) AMD-FCG: An Enhanced Function Call Graph Dataset with Integrated Topological Features for Malware Detection and Classification

新的AMD-FCG数据集通过拓扑特征增强恶意软件检测能力

研究人员推出AMD-FCG,一个旨在改进恶意软件检测和分类的新数据集。该数据集将拓扑特征集成到函数调用图(FCG)中,为分析恶意软件结构和行为提供了一种更强大的方法。通过提供全面的恶意软件样本和良性应用程序的集合,AMD-FCG旨在提高网络安全系统的准确性和效率,可能减少对动态分析的需求。 AI

影响 为开发更准确、更高效的AI驱动的恶意软件检测系统提供新资源。

排序理由 这是一篇介绍针对特定技术问题的全新数据集的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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新的AMD-FCG数据集通过拓扑特征增强恶意软件检测能力

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这是一篇介绍针对特定技术问题的全新数据集的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Parthajit Borah, Sakshi Singh, D. K. Bhattacharyya, J. K. Kalita ·

    AMD-FCG:一个增强的功能调用图数据集,集成了用于恶意软件检测和分类的拓扑特征

    arXiv:2606.06815v1 Announce Type: cross Abstract: As malware illustrates a complex structure and behavior, detection of these has been a significant challenge in the domain of cybersecurity along with related services in daily life. So, it becomes crucial to have a reliable and a…