This article presents a anomaly detection method based on correlation eigen matrix and neural network.
本文描述了一个基于相关特征矩阵和神经网络的异常检测方法。
This paper presents a new algorithm , an anomaly detection algorithm based on hidden pattern.
该文提供了一种新的基于隐含模式的异常检测算法。
A new method for the anomaly detection based on the attributes similarity and the cloud model was proposed to alleviate the high false positive rate problem in the detection.
针对网络异常检测虚警率偏高的问题，提出了一种基于属性相似度云模型的网络异常检测新方法。
Based on the analysis of characteristics of hyperspectral imagery, the methods of anomaly detection are studied systematically in this paper.
本文在深入分析高光谱数据特点的基础上，系统地研究了基于光谱维的图像异常检测方法。
A novel online fault detection algorithm based on adaptive auto-regressive (AAR) model is proposed focusing on the anomaly detection of network traffic.
通过研究网络流量异常检测，提出一种新的基于自适应自回归(aar)模型的在线故障检测算法。
An anomaly detection model based on the multi-feature similarity in large-scale network is proposed in this paper.
提出了大规模网络中一种基于相似度的异常检测模型。
This paper presents a new method, which is active detect network scans, based on TCP's port and flag's anomaly detection.
提出一种基于TCP端口和标志位异常检测的主动检测扫描技术。
A matching algorithm based on the negative selection for anomaly detection was presented in this paper.
使用了一种改进的否定选择匹配算法来检测异常行为。
Through the comparison of the results from the experiment and wavelet analysis, it shows that network-wide traffic anomaly detection based on subspace method is more simple and effective.
通过实验结果与小波分析结果的对比，证明了基于子空间方法的大规模网络流量异常检测是一种既简单又高效的方法。
This article presents an anomaly detection method based on correlation eigen matrix and neural network.
文章描述了一个基于相关特征矩阵和神经网络的异常检测方法。
This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).
论文提出了一种基于潜在语义索引（LSI）和支持向量机（SVM）的异常入侵检测方法。
It detect the anomaly mainly through establishing the normal behavior model database that anomaly detection method based on the procedure behavior.
基于程序行为的异常检测方法主要通过建立程序正常行为模式库来检测入侵。
Anomaly detection based on network traffic model is one of the important research directions in traffic anomaly detection.
基于网络流量模型的异常检测是流量异常检测的一个重要研究方向。
A network traffic anomaly detection mechanism is presented based on support vector machine (SVM).
提出了一种基于支持向量机的网络流量异常检测方法。
This paper presents and implements a macro-network traffic anomaly detection strategy based on sequential frequent pattern mining.
基于序贯频繁模式挖掘，提出并实现了一种宏观网络流量异常检测的方法。
A new anomaly detection model based on system call macro was presented.
提出了一个基于系统调用宏的异常检测模型。
This paper proposes a new anomaly intrusion detection method based on support vector data description (SVDD).
提出了一种基于支持向量数据描述算法的异常检测方法。
For the anomaly detection in the vibration time series of the rotor system, a real-valued negative selection algorithm based on Euclidean distance has been implemented.
针对转子振动时间序列中异常数据的检测问题，采用欧氏距离进行匹配计算，在实数域实现了负向选择算法。
In this paper, a new method of hyperspectral anomaly detection based on project pursuit is presented.
该文提出了一种基于投影追踪的高光谱图像异常点检测方法。
The results of the experiment show that the anomaly detection method based on principal component analysis is effective.
实验结果证明了基于主成分分析的异常检测方法的有效性。
This paper presents a new method based on TCP packet anomaly detection (THAD) to detect system scans.
该文提出一种基于TCP包头异常检测的系统扫描检测方法THAD。
An anomaly detection algorithm is presented based on improved KFCM cluster algorithm which can achieve partial best partition.
提出了一种改进的KFCM聚类异常检测算法，该算法可获得局部最优划分。
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。
But anomaly detection USES based-on statistic analyzed model detection "anomaly" network actions.
而异常检测模块，它采用基于统计分析模型检测“异常”的网络行为。
Researched the unsupervised anomaly detection methods based on clustering analysis, improved the K-means algorithm.
研究了基于聚类分析的非监督式异常检测方法，并改进了K均值算法用于聚类分析。
On the base of the characteristic of modes of anomaly-based and signature-based, a network invasion detection system is proposed to use the virtue of two modes to detect network invasion.
针对异常发现技术和模式匹配技术各有利弊的特点，设计了将这两种技术综合运用的网络入侵检测系统。
Based on the characteristics of wavelet transform, the wavelet Singularity Detection is used to locate the feature point and anomaly extension of the Rayleigh wave dispersion curve.
基于小波变换原理，利用小波分析中的奇异性检测方法来对瑞利波频散曲线的特征点和波动区段定位。
This paper focus on Anomaly-based Network Intrusion Detection System (ANIDS), which use two methods to design and implement anomaly detection .
ANIDS是基于异常检测技术的入侵检测系统，它从两个方面来实现异常检测。
And based on the experimental results of multi-dimensional data clustering, anomaly detection matrix is determined through identifying the training sample set and the machine self-learning.
然后根据对多维数据聚类的实验分析结果，通过对样本集的训练进行标识和机器自学习过程来判别异常检测矩阵。
The general situation and running mechanism of danger theory are presented in this paper. After that we present an anomaly detection model based on danger theory, describe an interrelated algorithm.
阐述了危险模式的概况及运行机制，提出了一种基于危险模式的异常检测模型以及相关的算法。
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