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STOP
                  SCAM
Research proposal to the WebScience Summer School 2012 commission
    by Martine de Vos, Peter Kraker, Tatiana Tarasova, Tobias Käfer
               Leiden, The Netherlands. July 13, 2012.
                           License: CC-BY
Looks familiar?




Source: 419eater.com
Looks familiar?




         Source: Our inbox
487 million dollars reported in
losses due to online fraud in 2011
Source: US Internet Crime Complaints Center


10% of online users became vicitim
of fraud in 2010 in the UK
Source: Verisign

Other consequences are
kidnapping, murder, and
suicide
Source: Wikipedia
The process of scamming




 Scammer       one             They engage in
sends tons   recipient        conversation and                    Report to
 of emails    reacts             build trust     Bank transfer    the police
                                                                 (hopefully)

                         Our focus
The process of scamming II

                                                                         …

                      scammer   Person A         Person B     Person C       Bank

                                           You are about to
                                            transfer 10,000
                                               dollars...
                                             are you sure?




Pattern repository




                                               watchdog
Computational Linguist
                                  How to discover the patterns?




                                      team
                                                                                  Developer
    Psychologist                                                                 Do all the tedious work…
How to stop the conversations?
Patterns in hoax trust-building conversations?

                                              Computer Scientist
                                             (Machine learning)
                                                 How to discover the patterns?
Email providers      Message boards

         data/consortium


 Internet Crime     Scambaiting
Complaint Center    communities
Research plan, work packages

User studies   Development of User Interface     Off-line validation    Real-world validation
Analysis of            Development of            (historic scam data)   (volonteering users)
interaction patterns   detection system




Key performance indicators (KPIs):                       Outcome: Scam detection software
 • High precision and recall in the scam detection        • Plugins for off-line e-mail clients
 • Reduced rate of successful scams                       • Software for E-Mail systems
                                                          • Software for Message-Boards
                                                          • Software for social networks
Outlook…
Most fraud occurs offline with 3 bn dollars in
the US alone

       Warning! This
       person might
           be a
        scammer!


                        Google Goggles           Image Source: Thomas Hawk, CC-BY
                                         http://www.flickr.com/photos/thomashawk/

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Stop Scam

  • 1. STOP SCAM Research proposal to the WebScience Summer School 2012 commission by Martine de Vos, Peter Kraker, Tatiana Tarasova, Tobias Käfer Leiden, The Netherlands. July 13, 2012. License: CC-BY
  • 3. Looks familiar? Source: Our inbox
  • 4. 487 million dollars reported in losses due to online fraud in 2011 Source: US Internet Crime Complaints Center 10% of online users became vicitim of fraud in 2010 in the UK Source: Verisign Other consequences are kidnapping, murder, and suicide Source: Wikipedia
  • 5. The process of scamming Scammer one They engage in sends tons recipient conversation and Report to of emails reacts build trust Bank transfer the police (hopefully) Our focus
  • 6. The process of scamming II … scammer Person A Person B Person C Bank You are about to transfer 10,000 dollars... are you sure? Pattern repository watchdog
  • 7. Computational Linguist How to discover the patterns? team Developer Psychologist Do all the tedious work… How to stop the conversations? Patterns in hoax trust-building conversations? Computer Scientist (Machine learning) How to discover the patterns?
  • 8. Email providers Message boards data/consortium Internet Crime Scambaiting Complaint Center communities
  • 9. Research plan, work packages User studies Development of User Interface Off-line validation Real-world validation Analysis of Development of (historic scam data) (volonteering users) interaction patterns detection system Key performance indicators (KPIs): Outcome: Scam detection software • High precision and recall in the scam detection • Plugins for off-line e-mail clients • Reduced rate of successful scams • Software for E-Mail systems • Software for Message-Boards • Software for social networks
  • 10. Outlook… Most fraud occurs offline with 3 bn dollars in the US alone Warning! This person might be a scammer! Google Goggles Image Source: Thomas Hawk, CC-BY http://www.flickr.com/photos/thomashawk/