We investigate an effective and robust mechanism for detecting SMTP traffic anomaly. Our detection method cumulates the deviation of current delivering status from history behavio...
The statistical characteristics of network traffic - in particular the observation that it can exhibit long range dependence - have received considerable attention from the resear...
Daniel R. Figueiredo, Benyuan Liu, Vishal Misra, D...
The capability to easily find useful services (software applications, software components, scientific computations) becomes increasingly critical in several fields. Current approa...
Juan Carlos Corrales, Daniela Grigori, Mokrane Bou...
In this paper we introduce a novel method to detect and
localize abnormal behaviors in crowd videos using Social
Force model. For this purpose, a grid of particles is placed
ove...
We consider the use of Bayesian topic models in the analysis of computer network traffic. Our approach utilizes latent Dirichlet allocation and time-varying dynamic latent Dirich...