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Visualizing Traffic Causality for Analyzing Network Anomalies
2015
Proceedings of the 2015 ACM International Workshop on International Workshop on Security and Privacy Analytics - IWSPA '15
Monitoring network traffic and detecting anomalies are essential tasks that are carried out routinely by security analysts. The sheer volume of network requests often makes it difficult to detect attacks and pinpoint their causes. We design and develop a tool to visually represent the causal relations for network requests. The traffic causality information enables one to reason about the legitimacy and normalcy of observed network events. Our tool with a special visual locality property
doi:10.1145/2713579.2713583
dblp:conf/codaspy/ZhangSYN15
fatcat:yobkjzt2xvgdloe723kvislpcy