Traffic classification is the ability to identify and categorize network traffic by application type. In this paper, we consider the problem of traffic classification in the netwo...
Jeffrey Erman, Anirban Mahanti, Martin F. Arlitt, ...
We report here on our progress on a project first described at the ASSETS 2002 conference. At that time, we had developed a prototype system in which a proxy server intermediary w...
Previous discretization techniques have discretized numeric attributes into disjoint intervals. We argue that this is neither necessary nor appropriate for naive-Bayes classifiers...
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
A significant number of cyber assaults are attempted against open source internet support software written in C, C++, or Java. Examples of these software packages include the Apac...