Catching Loosely Synchronized Behavior in Face of Camouflage
arXiv:1810.08885
Abstract
Fraud has severely detrimental impacts on the business of social networks and other online applications. A user can become a fake celebrity by purchasing "zombie followers" on Twitter. A merchant can boost his reputation through fake reviews on Amazon. This phenomenon also conspicuously exists on Facebook, Yelp and TripAdvisor, etc. In all the cases, fraudsters try to manipulate the platform's ranking mechanism by faking interactions between the fake accounts they control and the target customers.
arXiv commentSubmitted to WWW 2019, Oct.2018
References in corpus (5)
- Near linear time algorithm to detect community structures in large-scale networks
- SybilBelief: A Semi-supervised Learning Approach for Structure-based Sybil Detection
- Signed Networks in Social Media
- FairJudge: Trustworthy User Prediction in Rating Platforms
- Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective