In this paper we present a new approach for network intrusion detection based on concise speciļ¬cations that characterize normal and abnormal network packet sequences. Our speciļ...
We consider extending decision support facilities toward large sophisticated networks, upon which multidimensional attributes are associated with network entities, thereby forming...
This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
DiscFinder is a scalable approach for identifying large-scale astronomical structures, such as galaxy clusters, in massive observation and simulation astrophysics datasets. It is ...
Dense Wavelength Division Multiplexing optical networks transport a huge aggregate traffic exceeding Tbps per single fiber, and passive optical network technology has been extended...