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。
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。
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。
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。
For the anomaly detection in the vibration time series of the rotor system, a real-valued negative selection algorithm based on Euclidean distance has been implemented.
针对转子振动时间序列中异常数据的检测问题，采用欧氏距离进行匹配计算，在实数域实现了负向选择算法。
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。
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。
This paper focus on Anomaly-based Network Intrusion Detection System (ANIDS), which use two methods to design and implement anomaly detection .
ANIDS是基于异常检测技术的入侵检测系统，它从两个方面来实现异常检测。
Based mainly on the structural system concept, a 2-d catastrophic model of groundwater (level and geochemistry) anomaly, interference and earthquake has been established in this paper.
本文主要运用结构系统概念，建立地下水(水位、水化学)异常量、干扰量与地震之间的二维突变模型。
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).
针对网络入侵的不确定性导致异常检测系统误报率较高的不足，提出一种基于Q-学习算法的异常检测模型（QLADM）。 该模型把Q-学习、行为意图跟踪和入侵预测结合起来，可获得未知入侵行为的检测和响应。
For the purpose of protecting system resource, process behaviors anomaly at runtime was analyzed and summarized, and a program anomaly detection approach was put forward based on behaviors analysis.
使用这些方法调用系统资源，可以有效地提高程序开发效率，实现更复杂的程序功能，使程序具有较高的专业水平，同时也给出具体实例。
For the purpose of protecting system resource, process behaviors anomaly at runtime was analyzed and summarized, and a program anomaly detection approach was put forward based on behaviors analysis.
使用这些方法调用系统资源，可以有效地提高程序开发效率，实现更复杂的程序功能，使程序具有较高的专业水平，同时也给出具体实例。
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