13. A method of filtering an electronic message, comprising the steps: receiving an electronic message from an electronic mail structure; decomposing the message into a set of components according to a predetermined component size; applying pattern recognition logic to the set of components as a function of the predetermined component size to determine if the electronic message is predominately natural language text, wherein applying pattern recognition logic includes: determining an observed phi of the electronic message; determining a plain-text phi of the electronic message as a function of the component size; and comparing the observed phi to the plain-text phi to determine if the electronic message includes data in the particular format; and issuing an affirmative response to the electronic mail structure if the electronic message is predominately natural language text.
14. The method of claim 13, wherein the step of decomposing the message comprises breaking the message into N-grams, wherein N equals the component size.