About this document

Camouflage-Resistant Fraud Detection by cnnebedum.2201785 is a document available to read on EtoBox.

The document presents FRAUDAR, a novel algorithm designed for detecting fraudulent activities in bipartite graphs, such as fake reviews or followers, while accounting for camouflage tactics used by fraudsters. FRAUDAR demonstrates superior accuracy in identifying both camouflaged and non-camouflaged fraud compared to existing methods, and it has been tested on real-world data, including a Twitter follower-followee graph. The algorithm is scalable and offers theoretical guarantees on its effectiveness agains

Author

cnnebedum.2201785

Language

EN