More Tools to Combat Spam

Share this content:
The war is afoot between spammers and legitimate senders of mass e-mail. They have an ever-increasing number of weapons in the form of algorithms and list management tools. These tools will affect e-mail delivery and reduce the amount of spam that has hijacked the e-mail industry.


As reported from the New Scientist, researchers from IBM and Cornell University developed a new algorithm for detecting spam in e-mails called SMTP Path Analysis. The algorithm works by examining the path information (probably by looking at the Received headers) and detects patterns that are likely to be the route of a spammer. Though the algorithm is not meticulous enough to catch spam on its own efficiently, it works well when combined with content filtering tools.


Engineers at ActivSoftware recently announced their new algorithm called "slow start outbound connection ramping." This new technology attempts to avoid becoming flagged as spam by automatically monitoring delivery success and failure rates and adjusting simultaneous connections to an e-mail service provider based upon those parameters.


It begins with a very low number of simultaneous connections to any one ESP for any one IP address. It monitors delivery failure to success ratios and slowly ramps up the number of connections to that ESP from that particular IP.


In another recent attempt to help legitimate e-mail senders avoid becoming flagged as spammers, researchers at ActivSoftware, using a bayesian spam filter, sifted more than 200,000 words flowing through their e-mail servers and itemized the 50 or so words most likely to trigger spam filters. The words are organized by their spam to ham ratio, or illegitimate to legitimate email ratio. The team analyzed many factors within this data, but the most compelling was the spam to ham ratios.


Words such as "click" and "here" don't rank as high because they are used often in legitimate e-mail. Whereas words like "madam," rarely found in legitimate e-mail yet readily found in spam, had very high ratios. Using this method the team created what it deemed "a superior list of spam words."


The top 12 words: homeowner, discreet, madam, materially, unclaimed, anticipates, soma, preapproved, unconditionally, beneficiary, refinance, intercourse.


close

Next Article in Digital Marketing

Sign up to our newsletters

Company of the Week

Since 1985, Melissa has helped thousands of companies clean, correct and complete contact data to better target and communicate with their customers. We offer a full spectrum of data quality solutions, including global address, phone, email, and name validation, identify verification - available for batch or real-time processes, in the Cloud or on-premise. Our service bureau provides dedupe, email/phone append and geographic/demographic append services for better targeting and insight. For direct mailers, Melissa offers easy-to-use address management/postal software, list hygiene services and 100s of specialty mailing lists - all with competitive pricing and excellent customer service.

Find out more here »

Career Center

Check out hundreds of exciting professional opportunities available on DMN's Career Center.  
Explore careers in digital marketing, sales, eCommerce, marketing communications, IT, data strategies, and much more. And don't forget to update your resume so employers can contact you privately about job opportunities.

>>Click Here

Relive the 2017 Marketing Hall of Femme

Click the image above