A biological visual based contour detection model was presented.
提出了一种基于生物视觉的轮廓检测模型。
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。
The establishment of network behavior detection model resolves theses problems.
网络行为检测模型的建立，在一定程度上解决了上述问题。
In this paper a new distributed network intrusion detection model is presented.
提出了一种基于安全从属关系的分布式网络入侵检测模型。
The performance of red tide detection model by airborne hyperspectral data is assessed.
基于显著性度量和检测偏差值评估赤潮航空高光谱检测模型的检测效果。
The results show that the two-layer intrusion detection model is more effective and robust.
结果也表明，这种检测模型具有更好的检测效果和健壮性。
The method is based on the intrusion detection model and the entropy is used as the criterion.
该方法以入侵检测模型为基础，信息熵为准则。
This paper describes an adaptive web intrusion detection model based on immune and fuzzy logic.
本文介绍了一种基于免疫系统和模糊逻辑的自适应网格入侵检测模型。
This paper proposes an intrusion detection model based on detection information exchange for WMNs.
该文提出一种基于检测信息交换的入侵检测模型。
A dynamic self-learning efficient intrusion detection model was proposed based on inductive reasoning.
提出了一种基于归纳推理的动态自学习的高效入侵检测模型。
A new two-layer Markov chains anomaly detection model that operated on system call traces was presented.
提出了一个两层马尔可夫链异常入侵检测模型。
According to the situation, this paper has proposed boldly the intelligent network intrusion detection model.
针对此现状，本文大胆地提出了智能化网络入侵检测模型。
A fire signal detection model based on fuzzy neural-network and its learning algorithm are presented in this paper.
本文提出了一种基于模糊神经网络的火灾信号探测数学模型，得出了它的一种学习算法，并进行了计算机仿真。
An image noise detection model was given and two no-reference quality assessment methods based on HVS were proposed.
给出图像噪声检测模型，提出了两种基于HVS的图像信噪比无参考质量评价方法。
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。
This paper studies the optimum detection model of the multiplicative spread-spectrum watermark embedded by fixed strength.
对以固定强度嵌入的乘性扩频水印的最优检测模型进行了研究。
Apply SVM technique to network intrusion detection, and propose a network abnormal intrusion detection model based on SVM.
将支持向量机应用于网络入侵检测，提出一种基于支持向量机的网络异常入侵检测模型。
In the third part, the artificial immune intrusion detection model is realized based on the mobile agent in the PWLAN environment.
第三部分在PWLAN环境下实现了基于移动代理的人工免疫入侵检测系统。
Based on the in-deep research on inductive learning theory, a rule learning algorithm is applied in building the intrusion detection model.
在对归纳学习理论深入研究的基础上，将规则学习算法应用到入侵检测建模中。
The main contributions of this thesis are as follows:(1) An edge feature detection model based on gradient and phase (GP model) is proposed.
本文的主要贡献如下：（1）提出了梯度和相位信息相结合的边缘特征检测模型—GP模型。
The intrusion detection model based on the population artificial immune is composed of discrete elements among which are no direct interactions.
基于群体人工免疫的入侵检测模型主要由一些离散的元素组成，这些元素之间没有直接的交互。
The detection model outlined in this paper would be able to help the network managers to find the anomaly behavior, which has high practical value.
本文提出的网络行为检测模型可以有效地帮助网管人员及时发现网络中的异常行为，为网络管理人员提供便利，具有较强的实用价值。
It is an important research topic to improve detection rate and reduce false positive rate of the detection model in the field of intrusion detection.
在入侵检测研究领域中，提高检测模型的检测率并降低误报率是一个重要的研究课题。
By the use of the electromagnetic reflection information of targets and ground in database, the radar detection model can generate radar image dynamically.
基于目标和地面电磁反射特性数据库的信息和雷达探测模型，实现了雷达图像动态生成。
In view of the demand that distributed attack detection needs massive data, this paper puts forward a cooperative detection model based on component structure.
本文针对检测分布式入侵时海量数据分析的应用需求，提出一种基于组件结构的协同检测模型。
This paper presents a buffer overflow detection model based on intermedia assembly which can be used to perform static analysis and detection on executable files.
提出一种基于中间汇编的缓冲区溢出检测模型，用于对可执行代码进行静态分析和检测。
Aiming at the processing of Chinese address information, the meta-database of segment rules is established, and an approximately duplicated detection model is proposed.
针对中文地址类信息的处理，建立了包含分词规则的元数据库，提出一种相似重复检测模型。
To detect small stealthy botnet, a botnet detection model based on sequential analysis is proposed, which is a complement to contemporary passive detection technologies.
为了实现小规模隐秘僵尸网络的检测，提出了一种基于序列分析的僵尸网络检测模型，对现有的被动检测技术进行补充。
To detect small stealthy botnet, a botnet detection model based on sequential analysis is proposed, which is a complement to contemporary passive detection technologies.
为了实现小规模隐秘僵尸网络的检测，提出了一种基于序列分析的僵尸网络检测模型，对现有的被动检测技术进行补充。
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