控制基于欺骗的网络威胁在变时网络上的传播
Nicolò Gozzi1, Nicola Perra2,3
1ISI Foundation, Turin, Italy.
Physical review. E
|January 21, 2026
概括
有针对性的策略有效地控制了社交网络上的基于欺骗的网络威胁. 专注于用户活动显著提高了保护,优于随机选择和意识测试.
科学领域:
- 网络科学 网络科学
- 网络安全 网络安全
- 计算社会科学 计算社会科学
背景情况:
- 在线社交网络促进了网络威胁的快速传播.
- 基于欺骗的威胁对用户构成重大风险.
- 控制网络威胁的传播需要了解网络动态.
研究的目的:
- 评估不同策略的有效性,以控制社交网络上的网络威胁.
- 使用活动驱动网络和易受感染易受感染 (SIS) 模型来建模网络威胁的传播.
- 量化控制策略对扩散值的影响.
主要方法:
- 在活动驱动网络中模拟用户交互,具有可调整的同类关系.
- 使用易受感染易受感染 (SIS) 模型模拟网络威胁的传播.
- 分析四种控制策略:随机,基于活动,自我中心的抽样和安全意识测试.
主要成果:
- 有针对性的策略,特别是那些专注于用户活动的策略,在控制网络威胁的传播方面非常有效.
- 以自我为中心的抽样策略显示出作为第二个最佳方法的承诺,而不需要系统知识.
- 容易被骗的用户之间的高同志性可能导致局部爆发,但限制了整体影响力.
结论:
- 基于活动的准是缓解社交网络网络威胁的优越策略.
- 网络结构,特别是同性恋和轻信,影响了网络威胁爆发的潜力和范围.
- 了解用户行为和网络拓对于设计有效的网络威胁控制措施至关重要.
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