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贝叶斯网络
    BAYESIAN Network for Intrusion Detection
    用于入侵检测的贝叶斯网络
    A system model based on Bayesian network
    基于贝叶斯网络的Web访问模式挖掘模型系统
    A Data-minning Technology Based on Bayesian Network
    基于贝叶斯网络的数据挖掘技术
    An Intelligent Search Model Based on Bayesian Network
    基于贝叶斯网络的智能检索模型
    The Research and Design of Host-based Intrusion Detection System Based on Bayesian Network
    基于贝叶斯网络的主机入侵检测系统研究与设计
    Intelligent Intrusion Detection Model Based on Information Gain Bayesian Network
    基于信息增益—贝叶斯网络的智能入侵检测模型的研究
    Research on Ontology Mapping Model Based on Bayesian Network
    基于贝叶斯网络的本体映射模型的研究
    Research on Causality Alerts Correlation Method Based on Bayesian Network
    基于贝叶斯网络的因果告警相关方法研究
    ve Bayesian, the thesis proposes an improvement model of Bayesian Network based on Na?
    ve Bayesian的贝叶斯网络模型。
    ve Bayesian, the thesis puts forward an improvement model of Bayesian Network based on Na?
    ve Bayesian的贝叶斯网络的不足,提出了改进的Na?
    To address the above problems, BMIF-an information filtering model founded on Bayesian network is proposed in this paper.
    因此 ,提出了基于贝叶斯网络的信息过滤模型 BMIF(Bayesian m odel of inform ation filtering) .
    Design and Implementation of Bayesian Network Inference Platform Based on Bucket Elimination
    基于桶消元的贝叶斯网络推理平台的设计与实现
    DESIGN AND IMPLEMENTATION OF BAYESIAN NETWORK DEVELOPER BASED ON RULE
    一种基于规则库的贝叶斯网络开发器的设计与实现
    Firstly, the thesis researches intelligence anomaly intrusion detection technology based on Bayesian Network. The main purpose of the research is to predict some unknown intrusion behaviors and to improve the learning ability of system by utilizing the intelligence anomaly intrusion detection technology, so the active defense ability of system is strengthened greatly.
    首先,本文研究了基于贝叶斯网络的智能异常入侵检测技术,目的是利用该智能异常入侵检测技术预测未知入侵行为、提高入侵检测系统学习能力和加强被保护系统的主动防御能力; 其次,本文又针对基于Na?
    Secondly, in order to remedy some deficiencies of Bayesian Network based on Na?
    ve Bayesian的贝叶斯网络的不足,提出了改进的Na?
    At the same time the thesis also researches the history of Bayesian Network, the development status quo of Bayesian Network and its application areas.
    同时又研究了贝叶斯网络的历史、发展现状和应用领域;
    To the deficiencies of extant intrusion detection technology the thesis proposes a new framework of an intelligence hybrid host-based intrusion detection system based on Bayesian Network.
    针对现存入侵检测技术的不足,提出了一个基于贝叶斯网络的混合式智能入侵检测模型。
    To anomaly detection mechanism the thesis puts forward some parameters that are suitable for anomaly detection based on Bayesian Network.
    针对异常检测机理,提出了适合于构造基于贝叶斯网络异常检测的参数变量;
    The thesis researches and designs the inference rule of anomaly intrusion detection system based on Bayesian Network, the learning rule of feature parameters used by anomaly intrusion system based on Bayesian network, and designs data structure of Bayesian Network and the relevant algorithms.
    研究并设计了入侵推理和基于贝叶斯网络异常检测特征参数的学习规则、设计了贝叶斯网络的数据结构及相关算法。
    Bayesian Network is a directed network, which makes it difficult and complicated to construct.
    图形模型可以很好的构造学习机制,其中贝叶斯网络模型的效果最好,但是由于贝叶斯网络的有向性使得它的构造是一个相当复杂且计算量庞大的过程。
 

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