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Updated: Jul 14, 2025
06:48
The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
9.4K
在单向网络中相互依赖的安全游戏
Edward C Rosenthal1, Christian Trudeau2
1Department of Statistics, Operations, and Data Science, Fox School of Business, Temple University, Philadelphia, Pennsylvania, USA.
概括
这项研究模拟了网络安全,即破坏性事件会造成经济损失. 添加模型简化了成本降低,导致合作游戏和公平的成本共享解决方案.
科学领域:
- 网络安全 网络安全
- 游戏理论的游戏理论.
- 运营研究 运营研究
背景情况:
- 具有单一源的定向树网络容易受到任何节点的破坏性事件的影响.
- 这些事件会导致受影响节点及其下游组件的经济损失.
- 鼓励用户投资于上游和现场安全,以减轻中断的可能性.
研究的目的:
- 开发一个模型,以最大限度地降低预期的投资和干扰成本在定向树网络.
- 通过引入一个近似的加法模型来解决乘法模型的局限性.
- 将安全问题视为公共产品,并探索公平的成本分担机制.
主要方法:
- 开发一个附加模型,近似一个乘法成本模型.
- 将网络安全问题简化为公共产品设置.
- 合作游戏理论的应用,包括沙普利值,用于成本分配.
- 分析具有相同和不同的用户无用性和风险降低的案例.
主要成果:
- 添加模型为成本最小化提供了一个可处理的近似.
- 这个问题被重新定义为最小化每个节点的总预期成本.
- 合作游戏是为了公平的成本共享而建立的.
- 对于相同的不实用性,沙普利值是可以有效计算的,类似于机场游戏.
- 合作游戏被证明是的,确保一个非空的核心和沙普利价值的包含.
结论:
- 添加模型为网络安全成本优化提供了一种实用的方法.
- 合作游戏理论为网络安全投资中公平的成本分配提供了一个框架.
- 沙普利值作为一个强大的和公平的解决方案,用于这些网络的成本分配.
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