I originally posted the following at CIO.com (http://tiny.cc/Pvz1g)
Last week McAfee, in conjunction with ICF International, published The Carbon Footprint of E-mail Spam Report, a report that details the “carbon footprint” of sending, receiving, and viewing spam. A novel new concept – the environmental impact of spam?
One of the most significant findings of the report was that nearly 80% of the energy consumed by spam comes “from end-users deleting spam and searching for legitimate e-mail (false positives).” The act of sending a spam message, consumes less than 1% of the GHG emissions associated with any given spam message – and the real “damage” so to speak is done once the spam message hits a user’s inbox (27% of GHG emissions are a result of false positives and 52% of emissions are a result of viewing spam).
I have to beg the question here, if the “damage” being caused is more or less in our hands (i.e. once the spam message reaches our inbox), is there such a thing as a “green” anti-spam solution we can implement to address the problem? Logic would say yes – anti-spam solutions that are able to eliminate false positives, and minimize the amount of spam end-users receive and view, are by course of reason and logic “green” solutions.
Here, lets explore the three criteria organizations can use to determine how “green” their anti-spam solution is: number of false-positives, spam messages viewed, and methodology used to stop spam.
Twenty-seven percent of GHG emissions resulting from a typical spam message are the result of false positives. Anti-spam solutions that may block a high percentage of spam (98 or even 99%), but result in a high number of false positives, are usually more trouble than they are worth. While your end-users may not have spam in their inbox, the time spent searching for legitimate messages in a junk folder is costly in terms of lost productivity and environmental impact.
False positives are typically a problem that is inherently associated with filter-based anti-spam solutions – solutions that are built to avoid false-positives, and don’t rely on a “spam-filter” to scan the content of a message are more effective in addressing this “environmental” concern and time eater.
A staggering fifty-two percent of GHG emissions resulting from any given spam message are a result of viewing that piece of spam. This piece of criteria couldn’t be any simpler: the higher the spam stop-rate (i.e. 95, 96, 97 %) of your solution, the more environmental friendly it is. If your solution doesn’t allow spam messages to reach end-user’s inboxes, then your users aren’t spending time viewing or deleting these messages, and ultimately the GHG emissions associated with any one of these messages is eliminated.
Or, even better, select a solution that won’t allow spam through, period. Here, I’m sure to hear a resounding… “easier said than done!” However this point comes back to the methodology behind your solution and how it addresses the problem of spam.
Sixteen percent of GHG emissions associated with a spam message can be traced back to the spam filter that worked to stop that spam message. Needless to say, without any anti-spam filter in place, emissions would increase dramatically in other areas (such as spam viewing), and any solution is better than none. However, some are better than others, and today organizations have a plethora of choices when it comes to selecting an anti-spam solution – and no longer need to rely on filter-based solutions to solve their spam problem.
Increasingly, organizations are moving away from “filter-based” solutions, to solutions that focus on the trustworthiness of the sender, not the content of the message. Although spam filters have gotten “better,” they still create an arms race – spammers are continually looking for new and innovative techniques to break or circumvent the filters and filtering companies are continually creating updates to combat these new attacks. This ping pong effect results in more spam, more management, and a problem that isn’t solved.
Sendio (for the enterprise), Earthlink, Spam Arrest, and Boxbe (for individuals) are all companies that have rolled out solutions that adopt an “Opt-in Model” to stop spam. Similar to many popular social networking sites, (such as Facebook and LinkedIn) these solutions utilize something similar to the “friend request,” allowing users to build their own network of trusted contacts instead of relying on a filter to determine what is and isn’t spam. By adopting an approach that puts users in control, organizations can truly address their spam problem – and totally eliminate false positives as well as spam viewed. To eliminate the time and carbon emissions associated with these two components eliminates nearly 80% of the carbon emissions associated with spam!
Ultimately, how environmentally friendly your anti-spam solution is, is directly correlated to how effective that solution is – and implementing anti-spam solutions that are highly effective, will be both good for business and for the environment.