A visual exploration process for the analysis of Internet routing data

S. Teoh, K. Ma, S. F. Wu
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引用次数: 51

Abstract

The Internet pervades many aspects of our lives and is becoming indispensable to critical functions in areas such as commerce, government, production and general information dissemination. To maintain the stability and efficiency of the Internet, every effort must be made to protect it against various forms of attacks, malicious users, and errors. A key component in the Internet security effort is the routine examination of Internet routing data, which unfortunately can be too large and complicated to browse directly. We have developed an interactive visualization process which proves to be very effective for the analysis of Internet routing data. In this application paper, we show how each step in the visualization process helps direct the analysis and glean insights from the data. These insights include the discovery of patterns, detection of faults and abnormal events, understanding of event correlations, formation of causation hypotheses, and classification of anomalies. We also discuss lessons learned in our visual analysis study.
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一个可视化的探索过程,用于分析互联网路由数据
互联网渗透到我们生活的方方面面,在商业、政府、生产和一般信息传播等领域发挥着不可或缺的重要作用。为了维护互联网的稳定和效率,必须尽一切努力防止各种形式的攻击、恶意用户和错误。Internet安全工作的一个关键组成部分是对Internet路由数据的例行检查,不幸的是,这些数据可能太大、太复杂,无法直接浏览。我们已经开发了一种交互式可视化过程,它被证明是非常有效的分析互联网路由数据。在本文中,我们将展示可视化过程中的每个步骤如何帮助指导分析并从数据中收集见解。这些洞察包括模式的发现、故障和异常事件的检测、事件相关性的理解、因果假设的形成以及异常的分类。我们还讨论了在视觉分析学习中得到的经验教训。
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