In this paper, a novel Home Location Register(HLR) mobility database recovery scheme is proposed. With database backing-up and signal sending as its key processes, the presented scheme is designed for the purpose of b...In this paper, a novel Home Location Register(HLR) mobility database recovery scheme is proposed. With database backing-up and signal sending as its key processes, the presented scheme is designed for the purpose of both decreasing system costs and reducing number of lost calls. In our scheme, an algorithm is developed for an HLR to identify such VLRs that there are new MSs roaming into them since the latest HLR database backing up. The identification of those VLRs is used by the HLR to send Unreliable Roaming Data Directive messages to each of them to get the correct location information of those new MSs. Additionally, two kinds of relationships, one between the number of lost calls and the database backing-up period and the other between the backing-up cost and the period, are well analyzed. Both analytical and numerical results indicate that there will be an optimal HLR database backing-up period if certain system parameters are given and the total cost can be consequently minimized.展开更多
In recent years,with the continuous advancement of the intelligent process of the Internet of Vehicles(IoV),the problem of privacy leakage in IoV has become increasingly prominent.The research on the privacy protectio...In recent years,with the continuous advancement of the intelligent process of the Internet of Vehicles(IoV),the problem of privacy leakage in IoV has become increasingly prominent.The research on the privacy protection of the IoV has become the focus of the society.This paper analyzes the advantages and disadvantages of the existing location privacy protection system structure and algorithms,proposes a privacy protection system structure based on untrusted data collection server,and designs a vehicle location acquisition algorithm based on a local differential privacy and game model.The algorithm first meshes the road network space.Then,the dynamic game model is introduced into the game user location privacy protection model and the attacker location semantic inference model,thereby minimizing the possibility of exposing the regional semantic privacy of the k-location set while maximizing the availability of the service.On this basis,a statistical method is designed,which satisfies the local differential privacy of k-location sets and obtains unbiased estimation of traffic density in different regions.Finally,this paper verifies the algorithm based on the data set of mobile vehicles in Shanghai.The experimental results show that the algorithm can guarantee the user’s location privacy and location semantic privacy while satisfying the service quality requirements,and provide better privacy protection and service for the users of the IoV.展开更多
目前IDC数据中心内部由于网络攻击或网络配置等原因路由会经常变化,然而由于缺乏有效的监控软件,路由异常、路由抖动难以发现,故障难以定位.数据中心业务出现网络故障时无法确认故障点导致修复时间延长、用户体验降低和运营收入减少等问...目前IDC数据中心内部由于网络攻击或网络配置等原因路由会经常变化,然而由于缺乏有效的监控软件,路由异常、路由抖动难以发现,故障难以定位.数据中心业务出现网络故障时无法确认故障点导致修复时间延长、用户体验降低和运营收入减少等问题.分析了当前主流数据中心的网络架构、通信协议和路由计算原理,提出了一种基于链路状态数据库(link state database,LSDB)的数据中心网络异常检测方法 LSAP,该方法通过搜集LSDB,使用改进路由算法计算全网路由形成路由择域信息库(routing information base,RIB),根据LSDB快照和RIB快照比对准确关联链路变化和路由变化,发现链路异常、路由异常,能够定位故障.LSAP基于大数据分析平台实时计算路由表,能够实现秒级处理上亿条路由信息,满足当前数据中心对于分析速率的要求.通过在数据中心网络中部署试用,LSAP能够快速发现拓扑变化、复原路由表,统计分析所有路由变化,先于业务发现路由异常、路由攻击,且对网络改动很少,被动搜集数据不影响网络自身稳定性,适用对稳定性要求较高的数据中心部署.展开更多
基金the National 863 Program(No.MII-C3G-02-20/863-317-03-01-02-20)
文摘In this paper, a novel Home Location Register(HLR) mobility database recovery scheme is proposed. With database backing-up and signal sending as its key processes, the presented scheme is designed for the purpose of both decreasing system costs and reducing number of lost calls. In our scheme, an algorithm is developed for an HLR to identify such VLRs that there are new MSs roaming into them since the latest HLR database backing up. The identification of those VLRs is used by the HLR to send Unreliable Roaming Data Directive messages to each of them to get the correct location information of those new MSs. Additionally, two kinds of relationships, one between the number of lost calls and the database backing-up period and the other between the backing-up cost and the period, are well analyzed. Both analytical and numerical results indicate that there will be an optimal HLR database backing-up period if certain system parameters are given and the total cost can be consequently minimized.
基金This work is supported by Major Scientific and Technological Special Project of Guizhou Province(20183001)Research on the education mode for complicate skill students in new media with cross specialty integration(22150117092)+2 种基金Open Foundation of Guizhou Provincial Key Laboratory of Public Big Data(2018BDKFJJ014)Open Foundation of Guizhou Provincial Key Laboratory of Public Big Data(2018BDKFJJ019)Open Foundation of Guizhou Provincial Key Laboratory of Public Big Data(2018BDKFJJ022).
文摘In recent years,with the continuous advancement of the intelligent process of the Internet of Vehicles(IoV),the problem of privacy leakage in IoV has become increasingly prominent.The research on the privacy protection of the IoV has become the focus of the society.This paper analyzes the advantages and disadvantages of the existing location privacy protection system structure and algorithms,proposes a privacy protection system structure based on untrusted data collection server,and designs a vehicle location acquisition algorithm based on a local differential privacy and game model.The algorithm first meshes the road network space.Then,the dynamic game model is introduced into the game user location privacy protection model and the attacker location semantic inference model,thereby minimizing the possibility of exposing the regional semantic privacy of the k-location set while maximizing the availability of the service.On this basis,a statistical method is designed,which satisfies the local differential privacy of k-location sets and obtains unbiased estimation of traffic density in different regions.Finally,this paper verifies the algorithm based on the data set of mobile vehicles in Shanghai.The experimental results show that the algorithm can guarantee the user’s location privacy and location semantic privacy while satisfying the service quality requirements,and provide better privacy protection and service for the users of the IoV.
文摘目前IDC数据中心内部由于网络攻击或网络配置等原因路由会经常变化,然而由于缺乏有效的监控软件,路由异常、路由抖动难以发现,故障难以定位.数据中心业务出现网络故障时无法确认故障点导致修复时间延长、用户体验降低和运营收入减少等问题.分析了当前主流数据中心的网络架构、通信协议和路由计算原理,提出了一种基于链路状态数据库(link state database,LSDB)的数据中心网络异常检测方法 LSAP,该方法通过搜集LSDB,使用改进路由算法计算全网路由形成路由择域信息库(routing information base,RIB),根据LSDB快照和RIB快照比对准确关联链路变化和路由变化,发现链路异常、路由异常,能够定位故障.LSAP基于大数据分析平台实时计算路由表,能够实现秒级处理上亿条路由信息,满足当前数据中心对于分析速率的要求.通过在数据中心网络中部署试用,LSAP能够快速发现拓扑变化、复原路由表,统计分析所有路由变化,先于业务发现路由异常、路由攻击,且对网络改动很少,被动搜集数据不影响网络自身稳定性,适用对稳定性要求较高的数据中心部署.
