For satisfying the increasing network traffic and speed, design the high performance intrusion detection engine will become an urgent mission.
为了满足网络流量和速度的增大，设计高性能的入侵检测引擎将成为一项紧迫的任务。
The model of Multiple Neural Networks by Fuzzy(MNNF) integral presented in this paper is an effective method to improve the detection performance of network intrusion detection system.
为了进一步提高网络入侵检测系统的检测性能，将模糊积分理论和神经网络技术应用到网络入侵检测中，提出了基于模糊积分的多神经网络融合模型MNNF。
As the paper shows, the performance of network intrusion detection is improved by the speed of the improved AC-BM algorithm.
正如本文中所显示的一样，由于采用了改进的AC -BM算法，网络入侵检测的性能有了改善。
Experimental shows that the system's performance has a significant improvement compared to traditional methods, and is a good solution to the bottlenecks of intrusion detection speed.
测试表明该系统的性能与传统方法相比有显著的提高，很好地解决了入侵检测中的速度瓶颈问题。
In order to improve the performance of intrusion detection system, the paper will be integrated and coordinated to achieve optimal thinking into the intrusion detection system in the realization.
为了提高入侵检测系统的性能，本文将集成性和协同性从而达到优化的思想引入到入侵检测系统的实现中。
In order to improve the performance of intrusion detection system, selective ensemble is introduced to the implementation of intrusion detection system in this paper.
为了提高入侵检测系统的性能，本文将选择性集成的思想引入到入侵检测系统的实现中。
The algorithm proposed in this paper realizes the corresponding module and validates the performance in the KDDCUP99 intrusion detection data set.
本文提出的算法以及入侵系统模型使用入侵检测数据集kddcup99作为测试集验证性能。
Intrusion detection is a classification issue, performance of classification model is determined by feature selection.
入侵检测问题实际上是一个分类问题，特征选择的好坏直接决定了分类模型的性能。
An ideal intrusion detection system must have high detection rate and low false alarm rate in the same time, besides high performance.
理想的入侵检测系统不仅需要同时具备高的检测率和低的误报率，检测的速度也成为必须考虑的因素。
Performance analysis and experiments demonstrate that the model is scalable, and can dispatch packets reasonably and utilize intrusion detection system 'sources effectively.
性能分析和实验结果表明，改进的检测系统具有扩展性，能合理的分发数据包，充分的利用入侵检测模块的资源。
Use data mining methods to analyze the audit data and provide anomaly detection based on the generated normal patterns, this method can improve the performance of intrusion detection system.
利用数据挖掘技术对审计数据加以分析，总结出一些正常模式，用来进行异常检测，将有助于提高入侵检测系统的检测准确性和完备性。
The dataset evaluation methodology is a feasible and effective way to evaluate the performance of intrusion detection systems. The dataset contains background traffic and attack traffic.
利用评测数据集对入侵检测系统进行评测是目前可行并且有效的评估手段，数据集包括背景流量和攻击流量两部分。
By these data pretreatment process, greatly improved the ability of distinguish application-level attack such as R2L, U2R attacks, intrusion detection system's performance was rised.
通过这些数据预处理过程，大大提高了入侵检测系统对于应用层攻击如r2l、U 2r等模式攻击的识别能力，提高了入侵检测系统的性能。
The study of attack classification helps to build efficient intrusion detection method and to improve system detection performance.
对网络攻击进行分类研究，有助于构造高效的检测方法，提高系统检测性能。
The study of attack classification helps to build efficient intrusion detection method and to improve system detection performance.
对网络攻击进行分类研究，有助于构造高效的检测方法，提高系统检测性能。
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