Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Abstract-- The inference of a network structure from experimental data providing dynamical information about the underlying system of investigation is an important and still outsta...
Abstract. Attack analysis is a challenging problem, especially in emerging environments where there are few known attack cases. One such new environment is the Mobile Ad hoc Networ...
More and more important data is accumulated inside social networks. Limiting the flow of private information across a social network is very important, and most social networks pr...
The peer-to-peer (P2P) model generally requires that bidirectional and direct communications for contentdelivery be set up between user peers after discovery of the desired conten...
Tetsuya Oh-ishi, Koji Sakai, Tetsuya Iwata, Akira ...