anomaly detection的意思

anomaly detection中文翻譯：

異常檢測

異常發現

[計]異態檢測

相似詞語短語

avoid detection───避免被發現

early detection───早期發現；早期檢測

escape detection───掩人耳目

evade detection───逃避偵查

local election───地方選舉

mayoral election───市長大選

mine detection───[軍]探雷

primary election───（美）初選；預選

sanitary protection───衛生防護

雙語使用場景

Anomaly detection method is one of the main intrusion detection methods.───異常檢測是入侵檢測的主要分析方法之一.

Constructing the normal model is the key of anomaly detection.───而對正常行為建模是異常檢測技術的關鍵.

But, It is limited to use anomaly detection and misuse detection in practice.───但是在實際中的應用仍然局限于異常檢測和誤用檢測.

This system has three functions: misused detection, anomaly detection, and attack source traceback.───該系統實現了誤用檢測、異常檢測、攻擊源追蹤三個方面的功能。

This paper presents a new algorithm , an anomaly detection algorithm based on hidden pattern.───該文提供了一種新的基于隱含模式的異常檢測算法。

This paper presents a new method of network - wide traffic anomaly detection.───提出了基于信息熵的大規模網絡流量異常檢測方法.

Anomaly Detection based on DBMS refers to traditional Anomaly Detection based on OS and network.───基于數據庫管理系統的異常檢測借鑒了傳統的基于操作系統和網絡的異常檢測的思想.

The current intrusion detection techniques mainly include rule - based misuse detection and statistics - based anomaly detection.───當前的入侵檢測技術主要有基于規則的誤用檢測和基于統計的異常檢測.

Anomaly detection acts as one of the important directions of research on intrusion detection.───異常檢測是目前入侵檢測研究的主要方向之一.

Because of the large data in network traffic, the network anomaly detection needs more efficient algorithms.───因為實際環境中網絡數據量較大特點, 要求異常檢測系統有高效的分析和檢測算法.

This article presents a anomaly detection method based on correlation eigen matrix and neural network.───本文描述了一個基于相關特征矩陣和神經網絡的異常檢測方法。

Among the detection targets of the host - based anomaly detection system, user behaviors are discussed detailedly.───論文從兩個方面重點討論了基于主機的異常檢測系統中用戶行為的檢測.

英語使用場景

A novel online fault detection algorithm based on adaptive auto-regressive (AAR) model is proposed focusing on the anomaly detection of network traffic.

This module incorporate system call anomaly detection modeling methods and monitor file systems and Registry accesses.

Secondly, RX, GMRF and SEM, three representational algorithms of anomaly detection are studied.

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

Using experiments on network traffic analysis, the feasibility of updating normal profile for anomaly detection system is validated.

Constructing the normal model is the key of anomaly detection.

Then , a Phases Anomaly Detection Pattern Learning algorithm, PADPL, was put forward.

To the problems higher rate of false retrieval in anomaly detection system due to the uncertainty of intrusion, this paper presents an Anomaly Detection Model Based on Q- Learning Algorithm (QLADM).