anomaly detection

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.

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。

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.

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。

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.

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 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.

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 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.

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.

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.

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。

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。