As networks and the use of communication within applications continue to grow and find more uses, so too does the demand for more control and manageability of various "system...
Richard E. Schantz, John A. Zinky, David A. Karr, ...
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
Integration of different radio access networks will become a reality in a near future. Our interworking architecture assumes a ubiquitous primary network (the cellular one) and se...
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
—Stringent cost and energy constraints impose the use of low-cost and low-power radio transceivers in large-scale wireless sensor networks (WSNs). This fact, together with the ha...