根据安全网络的要求,利用先进的网络安全技术与设备,针对大连市气象局局域网在网络结构、网络安全方面存在的问题及隐患,提出网络系统改造方案及加强网络安全的措施:网络改造方案中采用子网划分技术重新规划网络结构,实现子网划分;针对...根据安全网络的要求,利用先进的网络安全技术与设备,针对大连市气象局局域网在网络结构、网络安全方面存在的问题及隐患,提出网络系统改造方案及加强网络安全的措施:网络改造方案中采用子网划分技术重新规划网络结构,实现子网划分;针对可能存在的内、外部网络攻击,部署了多层次防线,对边界防毒和应用服务器防毒及客户端防毒均作了相应的部署。采用虚拟专用网络(virtual private network,VPN)技术、虚拟局域网(virtual local area network,VLAN)技术、网络版病毒防护软件、网关防毒产品、防火墙技术和物理隔离等多种专业网络安全产品,构建整体安全网络系统。实施后表明:网络安全得到保障,网络通信质量显著提高,达到了建设安全、畅通、高速局域网络的目的。展开更多
软件定义网络(Software Defined Netrork,SDN)技术在医院网络中的应用已经取得了显著进展,为医疗信息化和服务提供了强大的支持。讨论了传统医院网络架构所面临的多项挑战,包括内外网边界隔离、网络安全问题、业务复杂场景等,并探讨了SD...软件定义网络(Software Defined Netrork,SDN)技术在医院网络中的应用已经取得了显著进展,为医疗信息化和服务提供了强大的支持。讨论了传统医院网络架构所面临的多项挑战,包括内外网边界隔离、网络安全问题、业务复杂场景等,并探讨了SDN如何应对这些挑战以及如何改善医院网络的性能和安全性。具体而言,SDN技术通过多网融合,使用虚拟扩展局域网(Virtual Extensible Local Area Network,VXLAN)实现逻辑隔离,简化了网络配置和管理,同时确保了网络的安全性。除此以外,SDN引入了虚拟安全资源池和网络功能虚拟化(Network Functions Virtualization,NFV)技术,实现了跨网流量的安全访问和高效管理。SDN的网络智能和运维简化使医院能够更好地适应不同业务场景,提高了网络的灵活性和可管理性。总之,SDN技术在医院网络中的应用为医院信息化带来了新的可能性,同时提出了未来进一步改进和发展的方向。展开更多
With the rising demand for data access,network service providers face the challenge of growing their capital and operating costs while at the same time enhancing network capacity and meeting the increased demand for a...With the rising demand for data access,network service providers face the challenge of growing their capital and operating costs while at the same time enhancing network capacity and meeting the increased demand for access.To increase efficacy of Software Defined Network(SDN)and Network Function Virtualization(NFV)framework,we need to eradicate network security configuration errors that may create vulnerabilities to affect overall efficiency,reduce network performance,and increase maintenance cost.The existing frameworks lack in security,and computer systems face few abnormalities,which prompts the need for different recognition and mitigation methods to keep the system in the operational state proactively.The fundamental concept behind SDN-NFV is the encroachment from specific resource execution to the programming-based structure.This research is around the combination of SDN and NFV for rational decision making to control and monitor traffic in the virtualized environment.The combination is often seen as an extra burden in terms of resources usage in a heterogeneous network environment,but as well as it provides the solution for critical problems specially regarding massive network traffic issues.The attacks have been expanding step by step;therefore,it is hard to recognize and protect by conventional methods.To overcome these issues,there must be an autonomous system to recognize and characterize the network traffic’s abnormal conduct if there is any.Only four types of assaults,including HTTP Flood,UDP Flood,Smurf Flood,and SiDDoS Flood,are considered in the identified dataset,to optimize the stability of the SDN-NFVenvironment and security management,through several machine learning based characterization techniques like Support Vector Machine(SVM),K-Nearest Neighbors(KNN),Logistic Regression(LR)and Isolation Forest(IF).Python is used for simulation purposes,including several valuable utilities like the mine package,the open-source Python ML libraries Scikit-learn,NumPy,SciPy,Matplotlib.Few Flood assaults and Structured Query Language(SQL)injections anomalies are validated and effectively-identified through the anticipated procedure.The classification results are promising and show that overall accuracy lies between 87%to 95%for SVM,LR,KNN,and IF classifiers in the scrutiny of traffic,whether the network traffic is normal or anomalous in the SDN-NFV environment.展开更多
文摘根据安全网络的要求,利用先进的网络安全技术与设备,针对大连市气象局局域网在网络结构、网络安全方面存在的问题及隐患,提出网络系统改造方案及加强网络安全的措施:网络改造方案中采用子网划分技术重新规划网络结构,实现子网划分;针对可能存在的内、外部网络攻击,部署了多层次防线,对边界防毒和应用服务器防毒及客户端防毒均作了相应的部署。采用虚拟专用网络(virtual private network,VPN)技术、虚拟局域网(virtual local area network,VLAN)技术、网络版病毒防护软件、网关防毒产品、防火墙技术和物理隔离等多种专业网络安全产品,构建整体安全网络系统。实施后表明:网络安全得到保障,网络通信质量显著提高,达到了建设安全、畅通、高速局域网络的目的。
文摘软件定义网络(Software Defined Netrork,SDN)技术在医院网络中的应用已经取得了显著进展,为医疗信息化和服务提供了强大的支持。讨论了传统医院网络架构所面临的多项挑战,包括内外网边界隔离、网络安全问题、业务复杂场景等,并探讨了SDN如何应对这些挑战以及如何改善医院网络的性能和安全性。具体而言,SDN技术通过多网融合,使用虚拟扩展局域网(Virtual Extensible Local Area Network,VXLAN)实现逻辑隔离,简化了网络配置和管理,同时确保了网络的安全性。除此以外,SDN引入了虚拟安全资源池和网络功能虚拟化(Network Functions Virtualization,NFV)技术,实现了跨网流量的安全访问和高效管理。SDN的网络智能和运维简化使医院能够更好地适应不同业务场景,提高了网络的灵活性和可管理性。总之,SDN技术在医院网络中的应用为医院信息化带来了新的可能性,同时提出了未来进一步改进和发展的方向。
文摘With the rising demand for data access,network service providers face the challenge of growing their capital and operating costs while at the same time enhancing network capacity and meeting the increased demand for access.To increase efficacy of Software Defined Network(SDN)and Network Function Virtualization(NFV)framework,we need to eradicate network security configuration errors that may create vulnerabilities to affect overall efficiency,reduce network performance,and increase maintenance cost.The existing frameworks lack in security,and computer systems face few abnormalities,which prompts the need for different recognition and mitigation methods to keep the system in the operational state proactively.The fundamental concept behind SDN-NFV is the encroachment from specific resource execution to the programming-based structure.This research is around the combination of SDN and NFV for rational decision making to control and monitor traffic in the virtualized environment.The combination is often seen as an extra burden in terms of resources usage in a heterogeneous network environment,but as well as it provides the solution for critical problems specially regarding massive network traffic issues.The attacks have been expanding step by step;therefore,it is hard to recognize and protect by conventional methods.To overcome these issues,there must be an autonomous system to recognize and characterize the network traffic’s abnormal conduct if there is any.Only four types of assaults,including HTTP Flood,UDP Flood,Smurf Flood,and SiDDoS Flood,are considered in the identified dataset,to optimize the stability of the SDN-NFVenvironment and security management,through several machine learning based characterization techniques like Support Vector Machine(SVM),K-Nearest Neighbors(KNN),Logistic Regression(LR)and Isolation Forest(IF).Python is used for simulation purposes,including several valuable utilities like the mine package,the open-source Python ML libraries Scikit-learn,NumPy,SciPy,Matplotlib.Few Flood assaults and Structured Query Language(SQL)injections anomalies are validated and effectively-identified through the anticipated procedure.The classification results are promising and show that overall accuracy lies between 87%to 95%for SVM,LR,KNN,and IF classifiers in the scrutiny of traffic,whether the network traffic is normal or anomalous in the SDN-NFV environment.
