Graph-Based Fraud Detection in the Face of Camouflage

    TKDD, Volume 11, Issue 4, 2017.

    Cited by: 16|Bibtex|Views17|Links
    EI

    Abstract:

    Given a bipartite graph of users and the products that they review, or followers and followees, how can we detect fake reviews or follows? Existing fraud detection methods (spectral, etc.) try to identify dense subgraphs of nodes that are sparsely connected to the remaining graph. Fraudsters can evade these methods using camouflage, by ad...More

    Code:

    Data:

    Your rating :
    0

     

    Tags
    Comments