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System Architecture and Key Technologies of Network Security Situation Awareness System YHSAS

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Computers, Materials & Continua 2019年第4期59卷 167-180页

作者： weihong han Zhihong Tian Zizhong Huang Lin Zhong Yan Jia Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou510006China Computer School National University of Defense TechnologyChangsha410073China Electrical and Computer Engineering Rice University77051USA

Network Security Situation Awareness System YHSAS acquires,understands and displays the security factors which cause changes of network situation,and predicts the future development trend of these security *** is developed for national backbone network,large network operators,large enterprises and other large-scale *** paper describes its architecture and key technologies:Network Security Oriented Total Factor Information Collection and High-Dimensional Vector Space Analysis,Knowledge Representation and Management of Super Large-Scale Network Security,Multi-Level,Multi-Granularity and Multi-Dimensional Network Security Index Construction Method,Multi-Mode and Multi-Granularity Network Security Situation Prediction Technology,and so *** performance tests show that YHSAS has high real-time performance and accuracy in security situation analysis and trend *** system meets the demands of analysis and prediction for large-scale network security situation.

关键词： Network security situation awareness network security situation analysis and prediction network security index association analysis multi-dimensional analysis

Network Security Incidents Frequency Prediction Based on Improved Genetic Algorithm and LSSVM

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China Communications 2010年第4期7卷 126-131页

作者： ZHAO Guangyao ZOU Peng han weihong School of Computer Science National University of Defense Technology Changsha 410073 China College of Equipment Command ＆Technology Beijing 100029 China

Since the frequency of network security incidents is nonlinear,traditional prediction methods such as ARMA,Gray systems are difficult to deal with the *** the size of sample is small,methods based on artificial neural network may not reach a high degree of *** Squares Support Vector Machines (LSSVM) is a kind of machine learning methods based on the statistics learning theory,it can be applied to solve small sample and non-linear problems very *** paper applied LSSVM to predict the occur frequency of network security *** improve the accuracy,it used an improved genetic algorithm to optimize the parameters of *** by real data sets,the improved genetic algorithm (IGA) converges faster than the simple genetic algorithm (SGA),and has a higher efficiency in the optimization ***,the optimized LSSVM model worked very well on the prediction of frequency of network security incidents.

关键词： Genetic Algorithm LSSVM Network Security Incidents Time Series Prediction

An Efficient Algorithm for Processing Partialmax/min Queries in OLAP

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China Communications 2010年第4期7卷 65-70页

作者： YIN Hong YANG Shuqiang han weihong School of Computer Science National University of Defense Technology ChangSha 410073 China

In the process of analyzing the large-scale network security situation,the data we faced are always flooded and messy,and the information is difficult to obtain with respond to the query *** analytical processing which use the Data-cube as a data source directly,calculated all or part of the Data-cube in advance,and it can reduce the query response time *** paper considers a class of queries,called the Partial-MAX/MIN *** introduce Rank Decision Tree(RD-Tree) and it’s searching algorithm for efficient processing of the partial-max/min *** experiments,we show our approach has an efficient processing capability for partial-max/min queries.

关键词： Situational Awareness OLAP Rank Index RBS RD-Tree

Mining User Interest in Microblogs with a User-Topic Model

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China Communications 2014年第8期11卷 131-144页

作者： HE Li JIA Yan han weihong DING Zhaoyun School of Computer Science National University of Defense Technology Changsha 410073 China College of Information and Management National University of Defense Technology Changsha 410073 China

Microblogs have become an important platform for people to publish,transform information and acquire *** paper focuses on the problem of discovering user interest in *** this paper,we propose a topic mining model based on Latent Dirichlet Allocation(LDA) named user-topic *** each user,the interests are divided into two parts by different ways to generate the microblogs:original interest and retweet *** represent a Gibbs sampling implementation for inference the parameters of our model,and discover not only user's original interest,but also retweet *** we combine original interest and retweet interest to compute interest words for *** on a dataset of Sina microblogs demonstrate that our model is able to discover user interest effectively and outperforms existing topic models in this *** we find that original interest and retweet interest are similar and the topics of interest contain user *** interest words discovered by our model reflect user labels,but range is much broader.

关键词： microblogs topic mining, userinterest LDA user-topic model

Traffic An o ma ly De te ctio n in Backbone Networks Using C la s s ifica tio n o f M u Itid ime n s io n a I Time Series of Entropy

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China Communications 2012年第7期9卷 108-120页

作者： Zheng Liming Zou Peng Jia Yan han weihong School of Computer Science National University of Defense Technology Changsha 410073 P. R. China Academy of Equipment Command and Technology Beijing 100029 P. R. China

Detecting traffic anomalies is essential for diagnosing attacks. HighSp eed Backbone Net works （HSBN） require Traffic Anomaly Detection Systems （TADS） which are accurate （high detec tion and low false positive rates） and efficient. The proposed approach utilizes entropy as traffic distributions metric over some traffic dimensions. An efficient algorithm, having low computational and space complexity, is used to estimate entro py. Entropy values over all dimensions are

关键词： traffic anomaly detection entropy classification correlation one class support vector machine

Impacts of ENSO on the Welfare of Rural Residents in China: A Stochastic CGE Model Assessment

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Asian Agricultural Research 2022年第11期14卷 31-40,47页

作者： weihong han Xianfeng YANG Xinjiletu YANG Yuqing LIU Inner Mongolia University of Technology Hohhot 010051China

ENSO-driven extreme weather events such as droughts and floods can cause significant damage to agricultural production and different intensities of ENSO events make uncertain changes to rural residents'welfare in different *** emphasize this uncertainty,the stochastic CGE model is constructed by imbedding a stochastic parameter into the production module to analyze the impacts of ENSO on the welfare of rural residents in various regions of China and the volatility of uncertain ENSO events on the welfare of *** role of agricultural technology in improving welfare stability and transfer payments in reducing welfare losses from ENSO are also *** results show that weak ENSO events have little effect on the welfare of rural residents while strong ENSO events cause the welfare of rural residents a significant decline,and the largest decrease appears separately in the southwest region and the smallest one in the *** uncertainty of ENSO events seriously affects the stability of the welfare of the residents,with the average fluctuation level of 200%in the change of the rural residents'welfare in all regions under El Ni *** improving the anti-risk ability of agriculture can effectively reduce the fluctuation of residents'***,if the government increases the transfer payment to the rural resident for disaster relief,the welfare would increase,and the higher the payment,the greater the improvement of the welfare.

关键词： ENSO events Stochastic CGE Rural residents'welfare Uncertainty

Impacts of Sand and Dust Storms on Regional Economy Based on Stochastic CGE Model : A Case Study in Inner Mongolia, China

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Asian Agricultural Research 2022年第11期14卷 48-55,61页

作者： Xinjiletu YANG Yanwei YUE weihong han Huiyan YIN Chunyan MAO School of Economics and Management Inner Mongolia University of TechnologyInner Mongolia 010051China

[Objectives]The paper was to study the impacts of sand and dust storms(SDS)on regional economy.[Methods]In this paper,we combined the computable general equilibrium(CGE)model and the Monte Carlo method to examine the impact of SDS on the regional economy,with a focus on GDP,price index,employment rate,industrial structure and output,income and *** extended the standard CGE model,introduced the stochastic parameters into the production module,which had significant impact on economic output,and inserted the rate of change of the total labor supply and the expenditure share of early warning and protective measures into the income and expenditure module.[Results]SDS had significant impacts on regional GDP,employment rate,and industrial output from a macro perspective,and can reduce the income of residents and enterprises and increase expenditures from a micro *** impact can be reduced by taking early warning and protective measures.[Conclusions]The protective measures taken for different grades of SDS have different effects.

关键词： Stochastic CGE Sand and dust storm(SDS) Regional economy Inner Mongolia

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图书馆员隐性知识的挖掘与共享

图书与情报 2006年第6期 88-91页

作者：韩卫红青海大学图书馆青海西宁810016

文章全面介绍了图书馆员的隐性知识及其相关特点,深入分析了其知识共享的障碍,并最终提出了解决这些问题的可行措施。

关键词：图书馆员隐性知识知识挖掘知识共享

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山西沼气模式链区域适宜性分析

中国农业资源与区划 2016年第6期37卷 115-120页

作者：雷锦霞韩伟宏山西省农科院农业资源与经济研究所

沼气模式链反映了产业之间的物流、能流循环关系,是推进循环农业发展的重要研究内容。研究首先对山西沼气模式链的现状进行剖析,其次,针对存在问题结合山西不同区域的资源、生态、经济特征,提出采用"区域资源条件+区域生态环境因素+区... 详细信息

沼气模式链反映了产业之间的物流、能流循环关系,是推进循环农业发展的重要研究内容。研究首先对山西沼气模式链的现状进行剖析,其次,针对存在问题结合山西不同区域的资源、生态、经济特征,提出采用"区域资源条件+区域生态环境因素+区域农业主导功能"指标体系对沼气模式链进行适宜性评价。该方法引入"区域农业主导功能"的指标,能更好地体现循环农业的资源、环境、经济相融合的发展目标。区域资源条件选择温度、太阳辐射总量、年秸秆产量、年畜禽粪尿排泄量等指标;区域生态环境因素选择盆地、丘陵、山地等反映地貌特征的指标;区域农业主导功能则选择农产品供给功能、就业与生活保障功能、生态调节功能、文化传承与休闲功能等指标。通过分析,将山西省划分为晋南盆地丘陵循环农业区、晋东南及晋中丘陵盆地循环农业区、晋北大同忻定盆地循环农业区、晋西北风沙治理循环农业区、晋西黄土丘陵水土保持循环农业区、太行中条山生态保护循环农业区六大循环农业区。最后,阐述了各区的农业生产特征和所选取模式,确定实施政策扶持、技术创新、多元筹资的保障措施。

关键词：循环农业模式链区域适宜性山西