2006年，他的同事马修·邦恩创建了一个数学模型，以此预测出未来10年核攻击概率为29%。

In 2006, his colleague Matthew Bunn created a mathematical model predicting a 29 percent probability of a nuclear attack in the next 10 years.

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提出了基于静态贝叶斯博弈的攻击预测模型。

This paper described an attack prediction model based on static Bayesian game.

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提出了基于动态贝叶斯博弈的攻击预测模型。

This paper described an attack prediction model based on dynamic bayesian games.

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这种模型使得攻击非常难以预测和防范，并大大提高了攻击成功的可能性。

This model makes it hard to predict and prevent attack behaviors, and enhances the possibility of success attack.

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最后，通过模拟实验说明了本模型的有效性，用它不仅能检测出复合攻击，还能预测攻击者将要采取的攻击行为。

And the simulation experiment also indicates that the model can not only detect multi-step attacks but also forecast the next attack.

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最后，通过模拟实验说明了本模型的有效性，用它不仅能检测出复合攻击，还能预测攻击者将要采取的攻击行为。

And the simulation experiment also indicates that the model can not only detect multi-step attacks but also forecast the next attack.

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