Enforcing Bulk Mail Classification

Computer Science – Networking and Internet Architecture

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

6 pages, changed spin on paper, added new idea (explicit tagging as a feature)

Scientific paper

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Enforcing Bulk Mail Classification does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Enforcing Bulk Mail Classification, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Enforcing Bulk Mail Classification will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-87741

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.