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- power system anomaly detection 电网异常检测
- system anomaly detection 系统异常检测
- Because of the scalability of finite automaton,the intrusion detection system was made to be of certain anomaly detection capabilities. 由于解析自动机的可扩展性,使其具备一定的异常检测能力。
- Using experiments on network traffic analysis, the feasibility of updating normal profile for anomaly detection system is validated. 并以网络流量分析为例，验证了在异常检测中应用这一方法的可行性。
- 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。
- Results In the 17 case of abnormal fetus, 14 cases were simple and 3 cases were complicated, nerve system anomaly occur rate is hightest(6/17) . 结果在17例畸形胎儿中,单发性14例,多发性3例,神经管畸形发生率最高(6/17)。
- Secondly, RX, GMRF and SEM, three representational algorithms of anomaly detection are studied. 其次,研究了具有代表性的三种奇异检测算法:RX算法、基于高斯马尔可夫随机场模型(GMRF)的检测算法和基于随机最大期望(SEM)分类的检测算法。
- This article presents a anomaly detection method based on correlation eigen matrix and neural network. 摘要 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。
- In order to make the anomaly detection more efficiently,the model adopts a traffic update policy based on glide window. 采用一个基于滑动窗口的流量更新策略,使异常检测能够更加高效。
- An approach of hyperspectral anomaly detection based on iterative error analysis (IEA) is presented. 摘要提出了一种基于迭代误差分析法(IEA)的异常检测算法。
- On the basis of the current single layer Markov chain anomaly detection model, this paper proposes a new two-layer model. 在现有的单层马尔科夫链异常检测模型基础上;提出一种崭新的两层模型.
- Some in the financial community are also putting anomaly detection in the back ends to detect suspicious patterns and localizations. 有些金融业者也在后端导入异常行为侦测的机制，以便及时发现可疑模式与地点。
- A set of special spectra which can be extracted by using IEA are important priori information in anomaly detection algorithm. IEA算法能够提取图像中有代表性的光谱信息，可为异常检算子的构造提供端元信息。
- Its implement and performance are analyzed.The advantages and disadvantages of misuse detection and anomaly detection are respectively analyzed. 论文分析了入侵检测系统的实现方式和安全性能,介绍了误用检测与异常检测各自的优缺点。
- magnetic anomaly detection system 磁异常探测系统
- Normal pattern construction is the key step for anomaly detection systems, which surely includes the low-frequency pattern as well as high-frequency pattern. 异常检测系统中，在建立正常模式时必须尽可能多得对网络行为进行全面的描述，其中包含出现频率高的模式，也包含低频率的模式。
- This paper introduces an user behavior anomaly detection model based on machine learning originated mainly by Terran Lane. Then it presents an improved anomaly detection model. 该文对一种基于机器学习的用户行为异常检测模型进行了描述 ;在此基础上提出一种改进的检测模型 .
- This paper proposes an anomaly detection based on Web user access behavior for the defense of application layer Distributed Denial-of-Service (DDoS) attack. 提出一种基于Web用户访问行为的异常检测方案;用于检测应用层上的分布式拒绝服务攻击;并以具有非稳态流特性的大型活动网站为例;进行应用研究.
- Then, in the light of well-established theory of DoS attack, it is suggested to employ IDS to defend, including anomaly detection,arbitrary detection, and data mining. 在本文中,作者重点将建立一个抗DOS攻击的模型,该模型利用数据挖掘(DM)原理,采用关联规则算法、序列模式算法和BP网络算法作为判断攻击的主要理论依据。
- 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.
