基于物联网技术的医院网络自动防入侵模型构建  被引量:1

Construction of Hospital Network Automatic Intrusion Prevention Model Based on Internet of Things Technology

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作  者:乔艳丽[1] 胡静[1] QIAO Yan-li;HU Jing(Bozhou City People's Hospital,Bozhou 236800 China)

机构地区:[1]亳州市人民医院,安徽亳州236800

出  处:《自动化技术与应用》2023年第8期103-106,127,共5页Techniques of Automation and Applications

摘  要:通常在网络检测入侵信息时,存在检测精度低、检测效果差的问题。对此,提出基于物联网技术构建医院网络自动防入侵模型。查找及插补医院网络数据缺失值,基于物联网技术结合Z-Score法标准化处理插补过的数据;依据主分量分析法计算标准化数据,获取医院网络数据的线性特征;结合支持向量机原理构建医院网络的自动防入侵架构,将获取的线性特征放入模型中,实现医院网络自动防入侵。实验结果表明,运用该方法可以有效检测出网络入侵数据分布,该模型的检测精度高、检测效果好。Usually,when the network detects intrusion information,there are some problems,such as low detection accuracy and poor detection effect.Therefore,this paper proposes to build an automatic intrusion prevention model of hospital network based on Internet of Things technology.It finds and interpolates the missing values of hospital network data,and standardizes the interpolated data based on the Internet of Things technology combined with Z-Score method;It calculates standardized data according to principal component analysis,and obtains linear characteristics of hospital network data;Combined with the principle of support vector machine,the automatic intrusion prevention architecture of hospital network is constructed,and the obtained linear features are put into the model to realize the automatic intrusion prevention of hospital network.Experimental results show that this method can effectively detect the distribution of network intrusion data,and the model has high detection accuracy and good detection effect.

关 键 词:物联网技术 数据预处理 防入侵模型 主分量分析 Z-SCORE 

分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]

 

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