Probability and Statistics in Cyberspace

In cyberspace we deal with huge amount of data (structured or not), produced by humans or machines. Starting from Alan Turing's definition of an intelligent machine - "A computer would deserve to be called intelligent if it could deceive a human into believing that it was human" - we need to define tools for deciding the nature of state parameters that classify the behavior of human beings. This talk is focused on statistical and probabilistic techniques used in cyberspace with applications in specific fields such artificial intelligence, electronic communication, e-commerce, e-government, forensic, fraud detection and security.