With the popularization of the Internet and the development of technology,cyber threats are increasing day by day.Threats such as malware,hacking,and data breaches have had a serious impact on cybersecurity.The networ...With the popularization of the Internet and the development of technology,cyber threats are increasing day by day.Threats such as malware,hacking,and data breaches have had a serious impact on cybersecurity.The network security environment in the era of big data presents the characteristics of large amounts of data,high diversity,and high real-time requirements.Traditional security defense methods and tools have been unable to cope with the complex and changing network security threats.This paper proposes a machine-learning security defense algorithm based on metadata association features.Emphasize control over unauthorized users through privacy,integrity,and availability.The user model is established and the mapping between the user model and the metadata of the data source is generated.By analyzing the user model and its corresponding mapping relationship,the query of the user model can be decomposed into the query of various heterogeneous data sources,and the integration of heterogeneous data sources based on the metadata association characteristics can be realized.Define and classify customer information,automatically identify and perceive sensitive data,build a behavior audit and analysis platform,analyze user behavior trajectories,and complete the construction of a machine learning customer information security defense system.The experimental results show that when the data volume is 5×103 bit,the data storage integrity of the proposed method is 92%.The data accuracy is 98%,and the success rate of data intrusion is only 2.6%.It can be concluded that the data storage method in this paper is safe,the data accuracy is always at a high level,and the data disaster recovery performance is good.This method can effectively resist data intrusion and has high air traffic control security.It can not only detect all viruses in user data storage,but also realize integrated virus processing,and further optimize the security defense effect of user big data.展开更多
In view of the problems of inconsistent data semantics,inconsistent data formats,and difficult data quality assurance between the railway engineering design phase and the construction and operation phase,as well as th...In view of the problems of inconsistent data semantics,inconsistent data formats,and difficult data quality assurance between the railway engineering design phase and the construction and operation phase,as well as the difficulty in fully realizing the value of design results,this paper proposes a design and implementation scheme for a railway engineering collaborative design platform.The railway engineering collaborative design platform mainly includes functional modules such as metadata management,design collaboration,design delivery management,model component library,model rendering services,and Building Information Modeling(BIM)application services.Based on this,research is conducted on multi-disciplinary parameterized collaborative design technology for railway engineering,infrastructure data management and delivery technology,and design multi-source data fusion and application technology.The railway engineering collaborative design platform is compared with other railway design software to further validate its advantages and advanced features.The platform has been widely applied in multiple railway construction projects,greatly improving the design and project management efficiency.展开更多
为了给深入研究猪繁殖与呼吸综合征病毒(porcine reproductive and respiratory syndromevirus,PRRSV)ORF6基因编码的M蛋白的生物学功能提供重要试验材料,本研究首先利用慢病毒包装系统构建了过表达PRRSVORF6基因的重组慢病毒质粒,将该...为了给深入研究猪繁殖与呼吸综合征病毒(porcine reproductive and respiratory syndromevirus,PRRSV)ORF6基因编码的M蛋白的生物学功能提供重要试验材料,本研究首先利用慢病毒包装系统构建了过表达PRRSVORF6基因的重组慢病毒质粒,将该质粒连同辅助质粒共同转染至HEK293T细胞获得重组慢病毒;之后将重组慢病毒感染MARC-145细胞,利用嘌呤霉素结合有限稀释法进行筛选,连续筛选3轮后建立了稳定表达PRRSVM蛋白的MARC-145ORF6细胞系;并使用CCK-8试验评估过表达PRRSVM蛋白对MARC-145细胞生长的影响。利用RT-PCR、蛋白免疫印迹(Westernblot)和间接免疫荧光(IFA)评估MARC-145ORF6细胞系的传代稳定性并鉴定M蛋白的亚细胞定位,进一步利用RT-qPCR评估过表达M蛋白对MARC-145细胞的干扰素及相关调节基因的影响;此外,还测定了PRRSV在MARC-145ORF6细胞系、MARC-145Flag细胞系和MARC-145细胞中的病毒滴度并绘制多步生长曲线以比较其差异。CCK-8试验结果表明,过表达PRRSVM蛋白对MARC-145细胞活力无显著影响;RT-qPCR、Westernblot和IFA等试验结果表明,MARC-145ORF6细胞系能够表达PRRSV的M蛋白且在传代过程中稳定。此外,稳定表达PRRSVM蛋白显著下调了细胞系的Ⅰ型干扰素及其相关调节基因;多步生长曲线表明,MARC-145ORF6细胞系促进PRRSV增殖,提高其病毒滴度。综上,本研究构建了可以稳定表达PRRSVM蛋白的MARC-145ORF6细胞系,发现其Ⅰ型干扰素水平显著下调且促进PRRSV复制。本研究构建的MARC-145ORF6细胞系将为M蛋白功能的深入研究提供重要生物材料。展开更多
基金This work was supported by the National Natural Science Foundation of China(U2133208,U20A20161).
文摘With the popularization of the Internet and the development of technology,cyber threats are increasing day by day.Threats such as malware,hacking,and data breaches have had a serious impact on cybersecurity.The network security environment in the era of big data presents the characteristics of large amounts of data,high diversity,and high real-time requirements.Traditional security defense methods and tools have been unable to cope with the complex and changing network security threats.This paper proposes a machine-learning security defense algorithm based on metadata association features.Emphasize control over unauthorized users through privacy,integrity,and availability.The user model is established and the mapping between the user model and the metadata of the data source is generated.By analyzing the user model and its corresponding mapping relationship,the query of the user model can be decomposed into the query of various heterogeneous data sources,and the integration of heterogeneous data sources based on the metadata association characteristics can be realized.Define and classify customer information,automatically identify and perceive sensitive data,build a behavior audit and analysis platform,analyze user behavior trajectories,and complete the construction of a machine learning customer information security defense system.The experimental results show that when the data volume is 5×103 bit,the data storage integrity of the proposed method is 92%.The data accuracy is 98%,and the success rate of data intrusion is only 2.6%.It can be concluded that the data storage method in this paper is safe,the data accuracy is always at a high level,and the data disaster recovery performance is good.This method can effectively resist data intrusion and has high air traffic control security.It can not only detect all viruses in user data storage,but also realize integrated virus processing,and further optimize the security defense effect of user big data.
基金supported by the National Key Research and Development Program of China(2021YFB2600405).
文摘In view of the problems of inconsistent data semantics,inconsistent data formats,and difficult data quality assurance between the railway engineering design phase and the construction and operation phase,as well as the difficulty in fully realizing the value of design results,this paper proposes a design and implementation scheme for a railway engineering collaborative design platform.The railway engineering collaborative design platform mainly includes functional modules such as metadata management,design collaboration,design delivery management,model component library,model rendering services,and Building Information Modeling(BIM)application services.Based on this,research is conducted on multi-disciplinary parameterized collaborative design technology for railway engineering,infrastructure data management and delivery technology,and design multi-source data fusion and application technology.The railway engineering collaborative design platform is compared with other railway design software to further validate its advantages and advanced features.The platform has been widely applied in multiple railway construction projects,greatly improving the design and project management efficiency.
文摘为了给深入研究猪繁殖与呼吸综合征病毒(porcine reproductive and respiratory syndromevirus,PRRSV)ORF6基因编码的M蛋白的生物学功能提供重要试验材料,本研究首先利用慢病毒包装系统构建了过表达PRRSVORF6基因的重组慢病毒质粒,将该质粒连同辅助质粒共同转染至HEK293T细胞获得重组慢病毒;之后将重组慢病毒感染MARC-145细胞,利用嘌呤霉素结合有限稀释法进行筛选,连续筛选3轮后建立了稳定表达PRRSVM蛋白的MARC-145ORF6细胞系;并使用CCK-8试验评估过表达PRRSVM蛋白对MARC-145细胞生长的影响。利用RT-PCR、蛋白免疫印迹(Westernblot)和间接免疫荧光(IFA)评估MARC-145ORF6细胞系的传代稳定性并鉴定M蛋白的亚细胞定位,进一步利用RT-qPCR评估过表达M蛋白对MARC-145细胞的干扰素及相关调节基因的影响;此外,还测定了PRRSV在MARC-145ORF6细胞系、MARC-145Flag细胞系和MARC-145细胞中的病毒滴度并绘制多步生长曲线以比较其差异。CCK-8试验结果表明,过表达PRRSVM蛋白对MARC-145细胞活力无显著影响;RT-qPCR、Westernblot和IFA等试验结果表明,MARC-145ORF6细胞系能够表达PRRSV的M蛋白且在传代过程中稳定。此外,稳定表达PRRSVM蛋白显著下调了细胞系的Ⅰ型干扰素及其相关调节基因;多步生长曲线表明,MARC-145ORF6细胞系促进PRRSV增殖,提高其病毒滴度。综上,本研究构建了可以稳定表达PRRSVM蛋白的MARC-145ORF6细胞系,发现其Ⅰ型干扰素水平显著下调且促进PRRSV复制。本研究构建的MARC-145ORF6细胞系将为M蛋白功能的深入研究提供重要生物材料。
