Analysis of Decisive and Non-Intrusive Technique to Combat Form Spam

Abstract

Spammers and the spam e-mails are causing huge losses to businesses & individuals on a regular basis
in terms of time & money. Spam filtration is an automated technique to identify SPAM and HAM. Various types of
spam filters are designed with different approaches, each having their own pros and cons. But after studying various
research works it was found that among all, the two most widely used methods are HONEYPOT and CAPTCHA.
These two methods are also available in lots of variants. Through this research work, I have tried to analyse and
identify best from the above two methods to combat form spam. At first, I studied HONEYPOT and CAPTCHA. Then,
I implemented these two methods on various forms. Later, compared and contrasted these two methods on certain
parameters, most importantly on false positive (means the test said the message was spam, when in reality it wasn’t.)
base and tried to find the method which will be able to identify more spams in less time, which is more users friendly,
provide easy accessibility easily manageable and, most importantly minimize the spam generated from Contact and
Feedback forms on public and social networking CMS websites