anomaly detection

This paper presents a new method of network-wide traffic anomaly detection.

提出了基于信息熵的大规模网络流量异常检测方法.

The Normal Behavior Model Database Foundation Algorithm Research in Anomaly Detection

关于异常检测中正常行为模式库创建算法的研究

Research of Classification Models for Anomaly Detection Based on Automatic Feature Construction

特征自动构建的异常检测分类模型研究

Security prewarning model receive analysis results, establish normal value, set up an anomaly detection model.

安全预警模型模块接收分析结果，设定正常的阀值，建立一个基于异常的检测模型。

A traffic anomaly detection algorithm based on steady model is proposed. Both weighted mean value and variance statistics method are used to build and update the steady model. Furthermore ROC curve method is used to assess performance.

提出了一种基于稳态模型的流异常检测算法，采用加权均值和方差计算相结合的统计学方法对网络流量稳态模型进行建模和更新，并使用ROC曲线进行异常检测模型的性能评估。

But, It is limited to use anomaly detection and misuse detection in practice.

但是在实际中的应用仍然局限于异常检测和误用检测.

Constructing the normal model is the key of anomaly detection.

而对正常行为建模是异常检测技术的关键.

Anomaly detection acts as one of the important directions of research on intrusion detection.

异常检测是目前入侵检测研究的主要方向之一.

Anomaly Detection based on DBMS refers to traditional Anomaly Detection based on OS and network.

基于数据库管理系统的异常检测借鉴了传统的基于操作系统和网络的异常检测的思想.

An Anomaly Detection Model Based on System Call Sequences

一种基于系统调用序列的异常检测模型

Anomaly Detection Defend DOS Attacks Based on Web Input Stream

基于网络输入流的异常检测方法防止DOS攻击的实现

A novel monitoring mechanism of LSN anomaly detection based on the data stream approach was proposed.

针对在高速骨干网上进行大规模网络异常发现的特点和要求，提出了一种基于数据流的大规模网络异常发现的方法，第一次将数据流模型用于大规模网络的异常发现。

And send analysis results to the design of the security prewarning model module, through the analysis result that is sent, establish normal value, set up an anomaly detection model.

并将分析结果发送到安全预警模型模块的设计，通过发送来的分析结果，设定正常的阀值，建立一个基于异常的检测模型。

Negative selected algorithm for anomaly detection in time series data

时间序列中异常值检测的负向选择算法

But there is no unified and clear view of how to determine this parameter in anomaly detection of system calls.

但这个参数在系统调用序列的异常检测应用中该如何确定目前没有统一而明确的意见。

Design of an anomaly detection model based on Fisher-discriminance

一种基于费歇（Fisher）判别法的异常检测模型设计

Anomaly detection: the thesis research the anomaly detection method based onflow values.

异常流量检测：研究了基于流量值的异常流量检测方法。

Real-time anomaly detection based on the Hidden Markov Model

基于隐马尔可夫模型（HMM）实时异常检测

Finally, our system is analyzed and evaluated in a "SYN flood" environment, and a method of applying clustering to anomaly detection is added to improve its performance.

最后，本文对系统模型应用于网络拒绝服务攻击环境的实例进行了分析，并提出了一种应用聚类分析对系统的改进方法。

The current intrusion detection techniques mainly include rule-based misuse detection and statistics-based anomaly detection.

当前的入侵检测技术主要有基于规则的误用检测和基于统计的异常检测.

In the software design of control system, the system control process, human interface software, acceleration control algorithm, fuzzy PID control algorithm, anomaly detection and treatment software of function module and so on are completed.

系统的软件设计方面，完成了系统控制流程、人际交互界面、加速控制算法、模糊PID控制算法以及异常检测和处理等功能模块的程序。

As for the problem that training samples in anomaly detection are unlabelled and unbalanced data sets, attack detection is treated as outlier detection and one-class SVM of hypersphere can be utilized to solve it.

针对异常入侵检测中训练样本是未标定的不均衡数据集的情况，将其视为一个孤立点发现问题。提出了适用于孤立点检测的超球面One-Class SVM的异常检测算法。

Application of Chi-Square Distance to Protocol Anomaly Detection

Chi-square Distance在协议异常检测中的应用

This paper presents a small targets detection approach based on anomaly distributing in hyperspectral data.

摘要提出一种基于分布异常的高光谱遥感影像小目标检测方法.

Spatial filter based anomaly detection algorithm for hyperspectral imagery kernel RX detectors

基于空域滤波的核RX高光谱图像异常检测算法滤光器-光栅红外光谱仪

Among the detection targets of the host-based anomaly detection system, user behaviors are discussed detailedly.

论文从两个方面重点讨论了基于主机的异常检测系统中用户行为的检测.

At the same time, project pursuit approach can extract target information efficiently and improve the effect of anomaly detection.

同时，投影追踪方法能有效的提取目标参数，进一步提高了异常点检测的效果。

The purpose of the research of NGI anomaly detection architecture is to develop a new technology to provide our anomaly detection system to accommodate with a high bandwidth and high traffic network environment and it must support the new internet protocol and have the ability of self-study.

下一代互联网异常检测体系研究的目标是开创新的技术，让异常检测系统能适应高带宽和高负荷的网络环境，支持最新的Internet网络协议，并有自我学习的能力。

Anomaly detection method is one of the main intrusion detection methods.

异常检测是入侵检测的主要分析方法之一.

Because of the large data in network traffic, the network anomaly detection needs more efficient algorithms.

因为实际环境中网络数据量较大特点, 要求异常检测系统有高效的分析和检测算法.