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首页> 外文会议>3rd International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2003 Jun 16-18, 2003 Prague, Czech Republic >Adaptive Agents Applied to Intrusion Detection
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Adaptive Agents Applied to Intrusion Detection

机译：自适应代理应用于入侵检测

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摘要

This paper proposes a system of agents that make predictions over the presence of intrusions. Some of the agents act as predictors implementing a given Intrusion Detection model, sniffing out the same traffic. An assessment agent weights the forecasts of such predictor agents, giving a final binary conclusion using a probabilistic model. These weights are continuously adapted according to the previous performance of each predictor agent. Other agent establishes if the prediction from the assessor agent was right or not, sending him back the results. This process is continually repeated and runs without human interaction. The effectiveness of our proposal is measured with the usual method applied in Intrusion Detection domain: Receiver Operating Characteristic curves (detection rate versus false alarm rate). Results of the adaptive agents applied to intrusion detection improve ROC curves as it is shown in this paper.
机译：本文提出了一种可以对入侵进行预测的代理系统。一些代理充当实现给定入侵检测模型的预测器，从而嗅出相同的流量。评估代理对此类预测代理的预测进行加权，并使用概率模型给出最终的二进制结论。这些权重根据每种预测因子的先前性能进行连续调整。其他代理人确定评估人代理人的预测是否正确，然后将结果发回给他。此过程不断重复，无需人工干预即可运行。我们的建议的有效性通过入侵检测领域中使用的常用方法来衡量：接收器工作特性曲线（检测率与误报率）。如本文所示，适用于入侵检测的自适应代理的结果可改善ROC曲线。

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