Demand based approach to control data load on email servers

A novel approach against E-mail attacks derived from user-awareness based techniques

“…In [17], a novel and better approach has been described, which creates a Bayesian network out of email exchanges to detect spam. Though Bayesian classifiers are used for detecting spam emails, they inherently need to scan the contents of the email completely to compute the probability distributions for every node, which is present in the network, because many times, it is not possible to detect spam mails for a particular inbox and its requirement for filtering spam mails [5].…”