Enforcing Bulk Mail Classification

TL;DR

This paper proposes a system extension that enforces accurate bulk email classification to reduce spam, allowing recipients to filter unwanted messages without misclassification or additional costs for legitimate users.

Contribution

It introduces a method requiring bulk email senders to classify messages accurately or face a small charge, improving spam filtering without harming well-behaved users.

Findings

Feasible extension to existing mail system for spam reduction

Senders must classify emails or incur a small charge

Recipients can filter emails based on interest areas

Abstract

Spam costs US corporations upwards of $8.9 billion a year, and comprises as much as 40% of all email received. Solutions exist to reduce the amount of spam seen by end users, but cannot withstand sophisticated attacks. Worse yet, many will occasionally misclassify and silently drop legitimate email. Spammers take advantage of the near-zero cost of sending email to flood the network, knowing that success even a tiny fraction of the time means a profit. End users, however, have proven unwilling to pay money to send email to friends and family. We show that it is feasible to extend the existing mail system to reduce the amount of unwanted email, without misclassifying email, and without charging well-behaved users. We require that bulk email senders accurately classify each email message they send as an advertisement with an area of interest or else be charged a small negative incentive per message delivered. Recipients are able to filter out email outside their scope of interest, while senders are able to focus their sendings to the appropriate audience.