为此，本文提出了采用具有恒定误警率的阈值，以消除斑点噪声的影响。
Therefore, this paper develops an algorithm by using a variable threshold with constant false alarm rates to help suppressing the speckle in SAR images.
实验结果表明，与其他模型相比，该模型具有较低的误警率和较高的检测率。
Experimental result proves that the model can detect intrusion from the network connection data at a lower system false alarm rate and a higher detection rate.
为了降低入侵检测系统的误警率，提高检测率，在入侵检测模型中应用了一种改进BP算法。
To decrease the false alarm rate and improve hit rate of IDS, an improved BP algorithm was applied to an ID model.
对模型和算法进行多种典型攻击测试实验，结果表明模型具有较高的检测率，并能有效降低误警率。
The experimental results show that the model has high detection rate, and which can deduce the false alarm rate effectively.
试验表明，基于证据推理的入侵检测系统，能够提高检测结果的准确性，并且降低了系统的误警率。
In the experiment, the high detection accuracy and low false positive rate is obtained and the performance of the IDS is also improved.
用KDDCUP99数据集进行仿真实验，实验结果表明，该方法具有较好的检测率和误警率，能够有效检测未知入侵。
The experimental result which uses the data sets of KDDCUP99 shows that this approach has better detection rate and false positive rate, and can detect unknown intrusions efficiently.
在KDDCUP99数据集中进行了对比仿真实验，实验结果表明算法对已知攻击和未知攻击的检测率以及算法的误警率都是理想的。
The simulations on the KDD CUP99 dataset show that the detection rate of known attacks and unknown attacks and the false positive rate of this algorithm are excellent.
针对传统的入侵检测系统存在的误警率高、存在告警洪流、告警孤立等缺点，引入了数据融合方法，提出了一个分布式入侵检测中的数据融合模型。
Aiming at the problem of traditional intrusion system, such as high false alert rate, alert torrent, alert isolation, a data fusion model in distributed intrusion detection is put forward.
对于伪装性入侵行为与正常用户行为来说，仅靠一个传感器的报告提供的信息来识别已经相当困难，必须通过多传感器信息融合的方法来提高对入侵的识别率，降低误警率。
It's difficult to identify the intrusion by the information gathered through one sensor, so we should use the information fusion method to improve the detection rate and lower the false-alarm rate.
对于伪装性入侵行为与正常用户行为来说，仅靠一个传感器的报告提供的信息来识别已经相当困难，必须通过多传感器信息融合的方法来提高对入侵的识别率，降低误警率。
It's difficult to identify the intrusion by the information gathered through one sensor, so we should use the information fusion method to improve the detection rate and lower the false-alarm rate.
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