Improving Detection of OSN Fakes by Predicting Victims
LERSSE student Yazan Boshmaf (co-supervised with Matei Ripeanu) has presented at NDSS last part of his Ph.D. research, Integro. It helps OSNs detect automated fake accounts using a robust user ranking scheme. The key idea is based on an insight that victims, benign users who control real accounts and have befriended fakes, form a distinct classification category that is useful for designing robust […]