In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Abstract. As the number of devices connected to the internet continues to grow rapidly and software systems are being increasingly deployed on the web, security and privacy have be...
Abstract. Optical Burst Switching proposes a future-proof alternative to the current electronic switching in the backbone. The involved optical buffers are implemented with a set o...
This paper presents a complex systems overview of a power grid network under cascading conditions. The cascading effect has been simulated on three different networks, the IEEE 300...
Sakshi Pahwa, Amelia Hodges, Caterina M. Scoglio, ...