Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Most network intruders tend to use stepping-stones to attack or to invade other hosts to reduce the risks of being discovered. There have been many approaches that were proposed t...
Declarative networking is a programming methodology that enables developers to concisely specify network protocols and services, and directly compile these specifications into a d...
The asymmetry of activity in virtual communities is of great interest. While participation in the activities of virtual communities is crucial for a community's survival and ...