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Online First:2018-02,
Published:15 February 2018
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Haocheng ZHANG, Xiaojie WU, Xiang TANG, et al. System detecting network anomaly with visualization techniques[J]. Chinese Journal of Network and Information Security, 2018, 4(2): 40-54.
Haocheng ZHANG, Xiaojie WU, Xiang TANG, et al. System detecting network anomaly with visualization techniques[J]. Chinese Journal of Network and Information Security, 2018, 4(2): 40-54. DOI: 10.11959/j.issn.2096-109x.2018015.
在网络安全数据的规模和复杂度不断攀升的今天,传统可视化方法已不再适用。现有的网络安全可视化系统和方法仍具有缺陷,它们无法对网络安全数据进行时序变化上的展示,在信息展示的完备性和用户交互性上表现较差。针对现有方法的不足,设计了一种多视图联动的网络安全可视化系统,将力导向模型和阶段式动画相结合,展示网络静态状态和动态变化,提供协议、IP段、端口的展示与筛选功能,为使用者展示全面丰富的网络数据。
With the fast development of information technology and computer network
the scale and complexity of network security data grows rapidly.Traditional visualization techniques are no longer suitable.In addition
it designs interactive functions based on the feature of network security analysis
in order to assist the network security analyst.The existing approaches for network security visualization have some defects
which fail to provide a good indication of network security data in terms of timing and also fail to display information completely and realize user-friendly interaction.A multi-view network security visualization system was proposed
which provided the analysts of both the static status and dynamic changes of the network by combining the force-oriented model and the staged animation.It provides comprehensive information with display and filter of protocols
IP segment and port.The system on Shanghai Network database were evaluated.
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