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新框架使用数字孪生对网络社会攻击影响进行评分

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一个新框架，将数字孪生技术与网络社会安全模型相结合，以更好地分析和量化网络攻击对关键基础设施的影响。该方法使用虚拟化环境来模拟攻击场景，并评估技术和社会层面的后果。一个关键组成部分是网络社会脆弱性评分系统（CSVSS），它扩展了现有指标以包含社会影响，从而提供更全面的严重性评分。该系统包含一个大型语言模型用于初步分析和报告起草，但在关键情况下仍保留人工监督以进行验证和决策。 AI

影响 通过整合大型语言模型进行威胁评估和人工监督，增强了网络安全分析。

排序理由 该集群描述了一篇提出新框架和指标以分析网络威胁的研究论文。

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新框架使用数字孪生对网络社会攻击影响进行评分

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Vita Santa Barletta, Danilo Caivano, Gabriel Cellammare, Andrea Dimauro, Pasquale Mesagna, Massimiliano Morga ·

    数字孪生以改善网络社会影响

    arXiv:2610.28430v1 Announce Type: cross Abstract: The increasing complexity of Industrial Control Systems (ICS) and their integration with IT infrastructures has significantly expanded the cyber threat landscape. Traditional cybersecurity models, primarily based on the Confidenti…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    数字孪生以改善网络社会影响

    The increasing complexity of Industrial Control Systems (ICS) and their integration with IT infrastructures has significantly expanded the cyber threat landscape. Traditional cybersecurity models, primarily based on the Confidentiality, Integrity, and Availability (CIA triad), fa…

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