1 / 16

Zmail : Zero-Sum Free Market Control of Spam

Zmail : Zero-Sum Free Market Control of Spam. Benjamin J. Kuipers, Alex X. Liu, Aashin Gautam, Mohamed G. Gouda. Spam Problem. Volume of Spam 2001: 8% of all email traffic was spam 2004: 60% of all email traffic was spam # emails per day: 31 billion (60% spam = 18.6 billion)

holden
Download Presentation

Zmail : Zero-Sum Free Market Control of Spam

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Zmail : Zero-Sum Free Market Control of Spam Benjamin J. Kuipers, Alex X. Liu, Aashin Gautam, Mohamed G. Gouda

  2. Spam Problem • Volume of Spam • 2001: 8% of all email traffic was spam • 2004: 60% of all email traffic was spam • # emails per day: 31 billion (60% spam = 18.6 billion) • # spam emails per person per day = 6 • Cost of Spam • 2003: $10 billion/year in U.S. (Ferris Research) $20.5 worldwide (Radicati Group) • Just cost for adding spam processing servers The University of Texas at Austin

  3. Anti-Spam: Legal Approaches • Punish spammers by anti-spam laws • Problems • Hard to define spam • First Amendment Right to Free Speech • Hard to enforce anti-spam laws • Spammers move to another country The University of Texas at Austin

  4. Anti-Spam: Filtering Approaches • Filter out spam based on text content • Problems • False Positive • What if a job offer email gets filtered? • Can be foiled by spammers • For example, imbedding spam text in images The University of Texas at Austin

  5. Anti-Spam: Economic Approaches • Require senders to pay something • Human Effort: Sender pays human effort • Inconvenient • Inefficient • Challenge can be perceived as rude • Computational Cost: Sender pays CPU time • Inefficient The University of Texas at Austin

  6. Anti-Spam: Zmail • Current cost for spamming is almost zero • User’s attention is the important resource consumed • Basic idea of Zmail: • The sender of an email paysmoney directly to the receiver. • Zero sum (unlike USPS): The amount of money charged to the sender =The amount of money rewarded to the receiver • The money earned can be used to send email. • The cost of sending one email is a unit called an e-penny. The University of Texas at Austin

  7. Impact of Market Forces • Spammers • Cost of spamming significantly increases • Bulk email advertising become more targeted • Normal Users • Most users receive more email than they send • If not, pay money or subscribing commercial email • ESPs (Email Service Providers) • Less spam, less bandwidth, less computational cost The University of Texas at Austin

  8. Zmail Architecture User User User ESP User User ESP ESP User User User User Bank The University of Texas at Austin

  9. The Zmail Protocol: two parties • Bank: • Each compliant ESP has an account with bank • Manage accounting for compliant ESPs • ESP buy and sell e-pennies with bank • Exchange e-pennies between real money for ESPs • ESPs: • Manage accounting for each of its users • Users buy and sell e-pennies with their ESPs The University of Texas at Austin

  10. The Zmail Protocol: Email Transfer • An email: user s of ESP A  user r of ESP B • Sending: • A reduces s’s balance by one • A records that A owes B one more e-penny • Receiving: • B increments r’s balance by one • B records that A owes B one more e-penny The University of Texas at Austin

  11. The Zmail Protocol: Misbehavior Detection • What if an ESP lies? • Periodically, every ESP reports to the bank how much they owe to every other ESPs • Misbehavior Detection • A says that A owes B x e-pennies • B says that A owes B y e-pennies • If x != y, then Bank further investigates who lies. • Most ESPs are honest. The University of Texas at Austin

  12. 1 Distributor 2 Sender +1 -1 -100 +100 -1 +1 +1 -1 100 +1 -1 Mailing Lists • List server: email distributor + subscriber DB • A subscriber sends an email to distributor, distributor forwards the email to everyone • Solution: for each email from distributor, receiver’s ESP sends back an ack email. • Extra benefit: subscriber DB is always updated The University of Texas at Austin

  13. Zombies and Email Viruses • Zombie: sends out spam at user’s expense • Virus: sends email to everyone in address book • Solution: each user specify a limit on the number of email that he can send a day. • Extra benefit: detecting virus and zombies The University of Texas at Austin

  14. Incremental Deployment • Zmail runs on top of SMTP • No change to SMTP • Deployment: starting from two compliant ESPs • A user may decide to segregate, filter, or discard email from non-compliant ESPs. The University of Texas at Austin

  15. Bank Setup • Internet already has some central authorities such as IANA that controls IP assignment The University of Texas at Austin

  16. Conclusions • Zmail gives no free ride to spammers • Zmail requires no definition of spam • Zmail works with other anti-spam techniques • Zmail can be incrementally deployed The University of Texas at Austin

More Related