Abstract. Intrusion detection systems gather large quantities of host and network information in an attempt to detect and respond to attacks against an organization. The widely var...
This paper considers resource allocation algorithms for processing streams of events on computational grids. For example, financial trading applications are executed on large comp...
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
—Network Intrusion Detection System (NIDS) is a system developed for identifying attacks by using a set of rules. NIDS is an efficient way to provide the security protection for ...
We describe our project that marries data mining together with Grid computing. Specifically, we focus on one data mining application - the Minnesota Intrusion Detection System (MIN...
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric...