与现有的网络蠕虫检测方法相比校，新方法更加有效，而且能够预警未知的网络蠕虫。
Comparing with the existing methods, our approach becomes more efficient, and has the characteristic of detecting the unknown Internet worms.
目的通过现况流行病学方法和实验室检测，调查甘肃省武都县7个村庄人群肠道寄生蠕虫的感染状况。
Objective To investigate human intestinal parasitic helminthes infection status in 7 villages of Wudu County in Gansu Province by epidemiological methods and laboratory detection.
为了验证上述算法的有效性，本文设计了一套实验方法，通过对现有网络蠕虫传播数据归档文件应用该算法进行检测来验证其有效性。
In order to verify the validity of the algorithm, this paper designed an experimental methods to apply the algorithm through the existing network worm propagation data to verify its effectiveness.
实验证明，该检测方法能够快速有效地检测出未知网络蠕虫的爆发。
The experiment result proves that our approach is effectively and quickly to detect unknown worm.
实验结果表明，该方法能有效检测传统蠕虫及多维传播的多态蠕虫。
Experiments show that the method is effective to detect traditional worms as well as multi-vector polymorphic worms.
针对蠕虫的入侵模式，文章提出了一种蠕虫预警方法，并设计了一个预警系统模型，以检验该方法的有效性，实验结果表明这种方法能够比较有效地检测蠕虫的早期入侵。
Here proposes a method to reach this goal with a view to the intrusion mode of worm, and then designs a system model to test it.
提出了一种基于带泄漏的积分触发测量方法的电予邮件蠕虫异常检测方法，用来检测邮件蠕虫在传播过程中的流量异常。
An Email flow anomaly detection method based on leaky integrate-and-fire model was presented for detecting flow anomaly in the process of mail worm propagation.
提出了一种基于带泄漏的积分触发测量方法的电予邮件蠕虫异常检测方法，用来检测邮件蠕虫在传播过程中的流量异常。
An Email flow anomaly detection method based on leaky integrate-and-fire model was presented for detecting flow anomaly in the process of mail worm propagation.
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