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With the prevalence of multi-user environments, it has become an increasingly challenging task to precisely identify who is doing what on an enterprise network. Current management systems that rely on inferring user identity and application usage via log files from routers and switches are not capable of accurately reporting and managing a large-scale network due to the coarseness of the collected data. The authors propose a system that utilizes finer-grained data in the form of local context, i.e., the precise user and application associated with a network connection. Through the use of dynamic correlation and graph modeling, they developed a visualization tool called ENAVis (Enterprise Network Activities Visualization).
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