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Large corporations and government agencies are continually bombarded by malicious network attacks through the cyber infrastructure. One common method to identify and assess the impacts of these malicious activities is through the monitoring and analysis of network flow data. While already somewhat aggregated, the data can quickly become overwhelming - a billion flow records a day for large organizations...
Designing a visualization system capable of processing, managing, and presenting massive data sets while maximizing the user's situational awareness (SA) is a challenging, but important, research question in visual analytics. Traditional data management and interactive retrieval approaches have often focused on solving the data overload problem at the expense of the user's SA. This paper discusses...
Computer network defense (CND) requires analysts to detect both known and novel forms of attacks in massive volumes of network data. It's through discovering the unexpected that CND analysts detect new versions of mal ware (such as viruses and Trojan horses) that have passed through their antivirus products, new methods of intrusion that have breached their firewalls and intrusion detection systems...
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