Computer scientists uncover online auction fraud

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In this graph of online auction transactions the darkened oval represents a known perpetrator of fraud while the other two ovals in the top row are suspected fraudsters. The bottom row of this graph called a bipartite core shows apparent accomplices ...
In this graph of online auction transactions, the darkened oval represents a known perpetrator of fraud, while the other two ovals in the top row are suspected fraudsters. The bottom row of this graph, called a bipartite core, shows apparent accomplices who artificially boosted the fraudsters' reputation scores. Credit: Carnegie Mellon University
Computer scientists at Carnegie Mellon University are using data mining techniques to identify perpetrators of fraud among online auction users as well as their otherwise unknown accomplices.


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