基于Netflow的网络安全大数据可视化浅析
|
摘要
自21世纪以来,社会经济稳步发展的背景下,网络行业呈现快速发展趋势,同时,随着网络行业的兴起,网络安全备受关注。以网络安全日志数据为例,其表现出爆炸式的增长趋势,但目前的可视化技术很难对高纬度、多粒度的Netflow日志进行完全可视化分析。因此,需要根据实际情况,实现基于Netflow的网络安全大数据可视化设计,从而确保网络信息的安全。笔者以Netflow网络安全大数据可视化研究现状作为切入点,进一步分析基于Netflow的网络安全大数据可视化优化设计思路,以期为相关从业者提供具备价值的参考依据。
Since the 21 st century, under the background of steady social and economic development, the network industry has shown a rapid development trend. At the same time, with the rise of the network industry, network security has attracted much attention. Taking the network security log data as an example, it shows an explosive growth trend, but the current visualization technology is difficult to fully visualize the Netflow log in high latitude and multi-granularity. Therefore, it is necessary to realize the visualization design of large data of network security based on Netflow according to the actual situation, so as to ensure the security of network information. Based on the research status of large data visualization in Netflow network security, the author further analyzed the idea of large data visualization optimization design based on Netflow, in order to provide valuable reference for relevant practitioners.
Since the 21 st century, under the background of steady social and economic development, the network industry has shown a rapid development trend. At the same time, with the rise of the network industry, network security has attracted much attention. Taking the network security log data as an example, it shows an explosive growth trend, but the current visualization technology is difficult to fully visualize the Netflow log in high latitude and multi-granularity. Therefore, it is necessary to realize the visualization design of large data of network security based on Netflow according to the actual situation, so as to ensure the security of network information. Based on the research status of large data visualization in Netflow network security, the author further analyzed the idea of large data visualization optimization design based on Netflow, in order to provide valuable reference for relevant practitioners.
引文
[1]陈重韬,王伟平,孟丹,等.面向海量NetFlow数据的存储和查询处理方法研究[J].高技术通讯,2016,26(6):534-541.
[2]王文杰.大数据时代网络信息安全及防护探讨[J].中国管理信息化,2019(12):125-126.
[3]郭军.大数据背景下网络信息安全保障策略初探[J].科技传播,2019(11):89-90.
[4]庞淑兰,王晓辉.网络安全分析中的大数据技术应用[J].科技风,2019(16):91.
[5]邓守勋,张承钿.基于Netflow的内网安全检测研究[J].计算机应用与软件,2018,35(10):329-333.
[6]王珣.基于Netflow的局域网流量异常检测系统的设计与实现[J].信息与电脑(理论版),2016(21):186-188.
[2]王文杰.大数据时代网络信息安全及防护探讨[J].中国管理信息化,2019(12):125-126.
[3]郭军.大数据背景下网络信息安全保障策略初探[J].科技传播,2019(11):89-90.
[4]庞淑兰,王晓辉.网络安全分析中的大数据技术应用[J].科技风,2019(16):91.
[5]邓守勋,张承钿.基于Netflow的内网安全检测研究[J].计算机应用与软件,2018,35(10):329-333.
[6]王珣.基于Netflow的局域网流量异常检测系统的设计与实现[J].信息与电脑(理论版),2016(21):186-188.