摘要
现今网络恶意行为呈爆炸性增长,而传统的基于文本及简单图表的网络入侵检测系统在面对海量网络数据时存在认知负担过重以及呈现不及时的问题.基于入侵检测的实时网络风险可视化技术则可以将海量数据以图形图像的方式实时动态直观地表现出来,通过在人和网络威胁流量之间建立实时的图像通信,可以使人能够及时理解并发现当前的网络安全态势,以便于快速管理及控制当前网络安全状况.
Today, the network malicious behavior goes into the explosive growth. And the traditional text based or simple chart based network intrusion detection systems are hard to use in the face of massive network data. Intrusion-detection-based real-time network risk visualization technology can transfer massive data to graphics and images dynamically in time. Then, we can build real-time imaged communication between human and cyber threat flow. So that we can quickly understand and figure out the current cyber security trend. That can be a good convenience for people to manage and control current cyber security.
出处
《信息安全研究》
2016年第2期180-185,共6页
Journal of Information Security Research
基金
国家自然科学基金项目(61173159
61572334)
关键词
风险评估
网络风险可视化
实时可视化
人工免疫算法
网络安全
risk evaluation
cyber risk visualization
real-time visualization
artificial immune algorithm
cyber security
