基于分布容侵技术的网络信息搜索行为追踪方法  

A Network Information Search Behavior Tracking Method Based on Distributed Intrusion Tolerance Technology

作　　者：林宗英 LIN Zongying(School of Intelligent Manufacturing,Quanzhou Vocational and Technical University,Quanzhou Fujian 362000,China)

机构地区：[1]泉州职业技术大学智能制造学院,福建泉州362000

出　　处：《保山学院学报》2023年第2期52-59,共8页JOURNAL OF BAOSHAN UNIVERSITY

基　　金：福建省中青年教师教育科研项目(科技类)“高校文献检索系统的研究与建设”(项目编号:JAT201198)。

摘　　要：为全方位追踪用户的网络信息搜索行为,研究基于分布容侵技术的网络信息搜索行为追踪方法。通过容侵技术与分布式节点优势,构建基于分布容侵技术的网络信息安全模型,该安全模型通过构造分布容侵数学模型,确定符合容侵标准的Web服务器数量,同时该安全模型采用蚁群算法,在网络信息搜索行为的追踪路径上放置检测器,收集可感知搜索引擎内容的信息素,采用信息素更新机制积累检测器采集的信息素,基于正态分布的状态、平均值以及标准差转变信息素的特征值,并依据时间序列检验其平稳性,确保Web服务器可持续追踪网络信息搜索行为。实验结果表明:该方法的容侵性能高,可保证Web服务器稳定运行,可快速追踪网络信息搜索行为,并且能通过蚁群思想准确定位用户的搜索路径。To comprehensively track users’network information search behavior,a network information search behavior tracking method based on distributed intrusion tolerance technology is studied.Through the intrusion tolerance technology and the advantages of distributed nodes,a network information security model based on distributed intrusion tolerance technology is built.The security model determines the number of web servers that meet the intrusion tolerance standard by constructing a distributed intrusion tolerance mathematical model.At the same time,the security model uses ant colony algorithm to place detectors on the tracking path of network information search behavior and collect pheromones that can perceive the content of search engines.The pheromone updating mechanism is used to accumulate the pheromones collected by the detector.The characteristic values of the pheromones are transformed based on the status,average value and standard deviation of the normal distribution,and their stability is tested according to the time series,so as to ensure that the web server can continuously track the network information search behavior.The experimental results show that this method has high intrusion tolerance performance,can ensure the stable operation of the web server,can quickly track the network information search behavior,and can accurately locate the user's search path through the idea of ant colony.

关 键 词：安全模型 网络信息 分布容侵 信息搜索行为 追踪方法 蚁群思想 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]