" (Stomach muscle) Utilizing ICANN's Methodology as an Approach to minimize Spam"

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Bounce Bruen Garth Bruen. “ (Ab) Using ICANN’s Procedures as a Way to minimize Spam”. Standard Approaches. Channel and Block Identify Spammers Blacklist Criminal Prosecution Civil Litigation Challenge/Response Reputation Protection. Definition: Infrastructure The Front End . ICANN

Presentation Transcript

Slide 1

Sway Bruen Garth Bruen " (Ab) Using ICANN's Procedures as a Way to minimize Spam"

Slide 2

Standard Approaches Filter & Block Identify Spammers Blacklist Criminal Prosecution Civil Litigation Challenge/Response Reputation Protection

Slide 3

Definition: Infrastructure The Front End ICANN Top Level Registrars Retail Registrars ISPs Policies and Procedures Resources Capacity

Slide 4

Front End Problems Because of: Weak methods Policies not took after Inadequate assets Consquences are : Target rich environment Spam stage Enhances botnets, malware, and so on

Slide 5

Whois Data Problem Report System WDPRS Whois information precision REQUIRED 15 days to settle whois record Created for simply these grievances One at once grumblings Designed for little numbers

Slide 6

Modern Complaint Process Match spammers ability Employ expansive scale operations Automate everything Processing spam entries Filing of objections Follow ups

Slide 7

KnujOn Delivers Massively Scalable Automated Spam Handling Strict Use of ICANN Procedures Once Detected Front End Spam Prevention Compliments Spam Detection & Elimination

Slide 8

What Is Different Not a honeypot – genuine individuals Spam gathering traverses years Targeting exchange destinations Apply ICANN strategy implementation Scale of dissensions documented ICANN Report 2006: ~45% was Project KnujOn

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250,000 200,000 150,000 100,000 50,000 0 '06 '07 '08 '09 Volume of KnujOn Reports KnujOn Complaint Volume Through ICANN WDPR 2008 foreseen will be 4 times that of 2007

Slide 10

KnujOn – Key Processes "Take after the cash" User submitted spam (ftp or email) ‏ Spam broke down for Transaction site Whois information gained & checked Automated protestation recorded if not exact Follow up

Slide 11

MetaData Large Database We can associate Scam locales & people Sites & criminal gatherings Groups, ISPs, Registrars Analyze patterns

Slide 12

Scale Problem 50,000,000 Registrations in 2007 50,000 Complaints - Apparent Limit Off by three requests of extent Shutdown 55,000+ (PoC) 20,000-25,000/day entries

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93% of Complaints at 10 Registrars All different enlistment centers 10 Registrars "Enormous" Problem Actually Small

Slide 14

Repairing the Infrastructure Evaluate recorder administrations Rate recorders Rate ISPs Challenge Privacy Protection Test Whois Services Identifying Fake DNS servers

Slide 15

Registrar Evaluation Number of grievances Filed & add up to Acknowledgment/convenience Action taken Rot days Engaged

Slide 16

Rot Days "Spoil days" = Suspend date – document date Should be shorter than: Tasting days = 5 days (Add Grace Period) ‏ Average life time = 5 days (UCSD paper) ‏ Unfortunately expanding

Slide 17

Rot Days

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Sample Registrar Rating Caveats Only uses our recorded protests Relative appraisals matter Small specimen n = 9 (~1000 enlistment centers) ‏ Better & more regrettable enlistment centers exist Only .com numbers

Slide 19

Example Rating Table Registrar Total Domains Complaints Filed Complaints rate MONIKER 1,956,780 29,855 1.53% directnfo 1,064,697 9,201 0.86% ENOM 6,179,440 39,609 0.64% BIZCN 223,728 815 0.36% NETSOL 5,046,746 15,397 0.31% Markmon 206,593 594 0.29% TUCOWS 4,552,986 7,646 0.17% nameking 788,110 713 0.09% GODADDY 15,295,392 12,036 0.08% Sorted by Rate – Smaller is better

Slide 20

Goals Fix the WDPRS Enforce the guidelines Audit the Registrars Terminate the awful enlistment centers

Slide 21

Thank You Bob Bruen bob.bruen@coldrain.net http://www.coldrain.net Garth Bruen garth.bruen@coldrain.net http://www.knujon.com

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