System, method and computer program product for collusion detection

Abstract

Embodiments disclosed herein provide a practical solution for click fraud detection. One embodiment of a method may comprise constructing representations of entities via a graph network framework. The representations, graphs or vector spaces, may capture information pertaining to clicks by botnets/click farms. To detect click fraud, each representation may be analyzed in the context of clustering, resulting in large data sets with respect to time, frequency, or gap between clicks. Highly accurate and highly scalable heuristics may be developed/applied to identify IP addresses that indicate potential collusion. One embodiment of a system having a computer program product implementing such a click fraud detection method may operate to receive a client file containing clicks gathered at the client side, construct representations of entities utilizing the graph framework described herein, perform clustering on the representations thus constructed, identify IP addresses of interest, and return a list containing same to the client.