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攻击活动驱动网络的目标攻击.

Dandan Zhao1, Li Wang1, Bo Zhang2

  • 1School of Computer Science and Technology, Zhejiang Normal University, Jinhua 321004, Zhejiang, China.

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概括
此摘要是机器生成的。

对时间网络的有针对性的攻击揭示了漏洞. 增加高度活跃节点的删除概率可以提高网络对时间透的稳定性,但极端异质性会降低网络的稳定性.

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科学领域:

  • 复杂系统科学 复杂系统科学
  • 网络科学 网络科学
  • 统计物理学的统计物理.

背景情况:

  • 现实世界的系统表现出动态的时间特征,需要进行时间网络分析,而不是静态模型.
  • 传统的静态网络分析无法捕捉复杂系统的不断变化的拓.
  • 了解网络对有针对性的攻击的弹性对于系统稳定性至关重要.

研究的目的:

  • 调查活动驱动的时间网络的时间透特性和弹性.
  • 提出和分析基于活动的目标攻击策略.
  • 评估节点活动对网络稳定性的影响.

主要方法:

  • 开发了一个基于活动的针对性攻击模型,用于时间网络.
  • 利用透理论和生成函数来分析巨型组件和时间透值.
  • 采用基于节点活动的网络映射框架.
  • 通过模拟数据验证理论结果.

主要成果:

  • 有针对性的攻击显著影响时间网络,与随机攻击不同.
  • 增加高度活跃节点的删除概率可以提高时间透值和巨型组件,提高强度.
  • 网络中的极端异质的活动分布会降低整体的稳定性.
  • 理论预测与透值附近的模拟结果一致.

结论:

  • 基于活动的有针对性的攻击有效地破坏时间网络.
  • 节点活动是确定时间网络弹性的一个关键因素.
  • 网络稳定性对节点活动分布的异质性敏感.
  • 结果提供了对真实世界的时间网络分析和理解的见解.