This paper put forward a new piece of intrusion detection algorithm which combines dynamic clonal selection and immune network.
提出了一种动态克隆选择算法和免疫网络相结合的新入侵检测算法。
On the aspect of network intrusion detection algorithm, the thesis studies the misuse detection algorithm and anomaly detection algorithm.
在网络入侵检测算法方面，本文对异常和误用检测算法进行了研究。
The intrusion detection algorithm combining with LZW and Bayesian MARS algorithm performs steadily with various data, which is practicable and feasible.
LZW算法与贝叶斯mars相结合的入侵检测算法，对各种数据表现稳定，具有一定可行性和实用性。
In the intrusion detection algorithm based on the pattern matching, the quality of the pattern-matching algorithm has direct influence on the functions of the detection system.
在基于模式匹配的入侵检测系统中，模式匹配算法的好坏直接影响着检测系统的效能。
Then it analyzes and compares the existing network intrusion detection algorithm based on artificial immune, and improves the linear time detector generating algorithm for the deficiency.
在此基础上， 对现有的基于人工免疫的网络入侵检测算法进行分析比较，针对线性时间检测器生成算法的不足作了改进。
This paper analyses the current intrusion detection techniques, brings forward a technique that applies cluster algorithm to network intrusion detection, and shows the effect through an experiment.
分析了目前的入侵检测技术，提出了使用聚类算法进行网络入侵检测的方法，并通过试验说明了该方法的应用效果。
For intrusion pattern based signature detection, an improved quick multi-pattern matching algorithm is adopted, which can search for multiple patterns by scanning the packet once.
对基于入侵模式的特征，采用了一种改进的快速多模式匹配算法可以一次在包的负载中查找多个入侵模式。
When applying the algorithm to network behavior intelligent learning of intrusion detection system, the error rate is about 10%.
将该算法应用于入侵检测系统的网络行为智能学习，其误报率仅为10%左右。
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。
It has been proved by experiments that the algorithm entirely satisfies the disposal of intrusion detection, text search, virus scans and information inquires in the high-speed network.
通过实验验证该算法完全可以满足高速网络中入侵检测、文本搜索、病毒扫描、信息查询等数据处理的要求。
The algorithm of network intrusion detection which based on ART2is an improvement grounded on automat-ic adaptive theory.
基于ART2的网络入侵检测算法是在自适应共振理论的基础上改进而来的。
In order to solve these problems, an intrusion detection system model based on AIS is put forward. Detection rules are produced by negative selection algorithm.
为了解决这些问题，提出了一个基于人工免疫原理的入侵检测模型，该模型使用负筛选算法产生检测规则集。
Pattern matching algorithm is an important algorithm, used by most of Intrusion Detection System.
模式匹配算法是入侵检测系统中使用较多的一种重要算法。
In order to detect and trace the intrusion, an architecture for intrusion detection based intelligent agent and a distributed trace algorithm are presented.
为了能有效地检测和跟踪入侵行为，这里提出了一个基于智能代理的入侵检测系统的体系结构和分布跟踪算法。
This article through the analysis existing intrusion detection technology good and bad points, proposed one kind of improvement cluster algorithm CLOPE to apply to the network intrusion detection.
本文通过分析现有入侵检测技术的优缺点，提出一种改进的聚类算法CLOPE将其应用于网络入侵检测。
This paper mainly introduces the details of the formulation of mature detector in the algorithm, and how to realize intrusion detection at last.
介绍了该算法中生成成熟检测器的具体细节，并实现了入侵数据的检测。
The algorithm of intrusion detection based on ART and artificial immune network is proposed in this paper.
提出基于ART和免疫网络聚类的入侵检测算法。
This paper introduces an intrusion detection model based on clustering analysis and realizes an algorithm of K-means which can set up a database of intrusion detection and classify safe levels.
提出了一种基于聚类分析方法构建入侵检测库的模型，实现了按k -平均值方法建立入侵检测库并据此划分安全等级的思想。
This paper proposes two modified negative selection algorithm through the reference of fuzzy mathematics, applied to different intrusion detection environment.
本文借鉴模糊数学思想提出两种改进的否定选择算法，分别适用于不同的入侵检测环境。
In the intrusion detection systems, matching speed of the string matching algorithm is very important.
入侵检测系统当中，匹配算法运行的速度是至关重要的。
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。
Applied the algorithm to network intrusion detection, the result shows that it's acceptable.
将其应用到网络入侵检测，实验结果表明改进的算法行之有效。
Then introduces spectral clustering algorithm based on deficiencies of variety of traditional clustering algorithms on intrusion detection.
然后分析了各种传统聚类算法在入侵检测中所表现的不足，并引入了谱聚类算法加以解决。
Experimental results show that intrusion detection of this algorithm has improved to some extent compared to the traditional clustering algorithm.
实验结果表明，该算法相比于传统聚类算法，在入侵检测效果上有一定的提高。
Pattern matching algorithm is the important part of the signature-based intrusion detection engine.
模式匹配算法是基于特征的入侵检测引擎中的重要部分。
Pattern matching algorithm is the important part of the signature-based intrusion detection engine.
模式匹配算法是基于特征的入侵检测引擎中的重要部分。
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