• According to the differences of intrusion detection theory, it includes misuse-based detection and anomaly-based intrusion.

    根据入侵检测原理的不同,入侵检测可分为误用检测和异常检测两种。

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  • The intrusion detection system divides into two categories according to the detection technique: anomaly-based detection system and misuse-based detection system.

    入侵检测按照检测技术分为两类:基于异常的入侵检测和基于误用的入侵检测。

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  • 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。

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  • Then it analyzed intrusion detection technology, compared the merits and shortcomings of Anomaly-based detection and Misuse-based detection, and depicted the source data of different detection ways.

    然后分析入侵检测技术。比较异常检测和滥用检测各自的优缺点,以及各种检测方法的数据来源。

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  • Based on the oilwell feature to reflect earthquakes. we have studied the mechanism of oilwell dynamic anomaly formation.

    在分析油井映震特征的基础上,着重对油井动态异常的形成机理进行了研究。

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  • 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。

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  • Based on characteristics of exploration; geochemistry, this paper, advanced the concepts of "geochemical conceptual model" and "geochemical anomaly pattern" with their differences pointed out.

    本文根据勘查地球化学的特点,提出了“地球化学概念模型”与“地球化学异常模式”的概念,指出二者之间的区别。

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  • Based on the measure of ground Radon at Shizipin area, this paper gives some preliminary analyses about the characteristics of ground Radon anomaly in the geothermal field.

    本文通过柿子坪地区地表氡气测量,对热田地表氡气异常特征作了初步分析。

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  • Based on the grey system study of oil and gas information, the grey positioning method for forecasting geophysical anomaly of oil and gas trap is put forward.

    基于油气信息灰色系统研究,提出了油气物探异常灰色定位预测法。

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  • Based upon the theory of upward continuation of two-dimensional magnetic anomaly data, a corresponding downward continuation formula has been derived.

    从二度磁异常上延理论出发,推导出一种下延方法。

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  • Based on the analysis of view maintenance anomaly, the concurrent updates are found to be one of the main reasons that cause view maintenance anomaly.

    通过对视图维护过程中的更新异常进行分析,发现并发更新是导致视图维护异常的主要原因。

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  • Based on the mechanism to induce groundwater anomaly, the interferences of precursory anomaly and its recognition are discussed, and the view of "rain and groundwater interference" is questioned.

    按照地下水诱发异常的机理,讨论了诱发前兆异常的干扰与识别问题,并对“降水、地下水干扰”观点提出质疑。

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  • Results show that the thermal effect of plate motion driven mantle flow and its contribution to the observed heat flow is greater than that due to internal density anomaly (tomography based).

    结果表明,与地幔内部密度异常产生的热效应相比,运动的板块及其激发的地幔流动在全球地表观测热流的产生和分布特征上起着更为重要的作用。

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  • 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。

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  • Based on the acoustic wave sounding of the dam foundation of a water control project, the continuous ratio of J1~J4 inter layer shear zone is infered by analyzing the acoustic velocity anomaly.

    以某水利枢纽工程坝基声波探测为例 ,通过声速异常分析 ,对J1~J4层间剪切带连续率进行了推定 ,其部分成果经开挖验证具有一定的可靠性。

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  • 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。

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  • A method of magnetic potential spectrum based on the cosine transform is proposed in order to improve the calculating accuracy of magnetic anomaly derivatives.

    针对提高磁异常导数的计算精度,提出磁位离散余弦变换谱的分析方法。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • The experimental results show that the Projection Pursuit based on dynamical evolutionary approach is an effective means to detect anomaly target in hyperspectral images.

    实验结果表明了基于动力演化算法的投影寻踪在高光谱影像异常目标检测中的有效性。

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

    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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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