Abstract--Intrusion detection remains an important and challenging task in current and next generation networks (NGN). Emerging technologies such as multi-core processors and virtu...
Abstract. This paper addresses the distribution and the deployment of hierarchical components on heterogeneous dynamic networks. Such networks may include fixed and mobile resourc...
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
This paper presents a new pruning method to determine a nearly optimum multi-layer neural network structure. The aim of the proposed method is to reduce the size of the network by ...
We provide an equational theory for Restricted Broadcast Process Theory to reason about ad hoc networks. We exploit an extended algebra called Computed Network Theory to axiomatize...