The paper explores the topic of Spamming and its parameters. The parameters that are taken into considerations are:
· number of spam that is actually delivered and the number of spams that are goes missing due to the anti-spam solutions.
· The ‘click0-through’ that is obtained from the spam
· Total number of sales that has affected because of the spam.
Practically, it is easily to get the conversion rate as minimum to the probability factor of 0.000001 par revenue with the investment. Hence no matter the conversion rate is very low, it can still increase the profit for the companies.
The probability factor is not substantial as it comes with various other risks and investment due to those risks. The market is limited but not as much competitive.
Storm botnets conducted the research and found that the command and control
infrastructure was penetrated which has enabled the researchers to modify the subset of spam and which then redirected the traffic to their servers which contains the websites that were similar to original websites. With which they can do an in-depth analysis on spam.
The spam delivery is then factored once the above process is done executing. This steps are done so that the effect of spam filtering devices is determined. To filter out the messages that are not related to the spam attack, the filters are placed. To enables the researchers to measure the click through of the users and the conversion rates, the analytics tools are setup in the website.
To gain accurate result, the crawlers, other bots and the honey clients are separated or filtered out. Hence the global blacklist was generated for all those clients and websites that are not yet reported. The data is then collected, analyzed and the results of which are computed.