Author(s): Hongyu Gao, Yan Chen, Kathy Lee, Diana Palsetia and Alok Choudhary

Download: Paper (PDF)

Date: 6 Feb 2012

Document Type: Briefing Papers

Additional Documents: Slides

Associated Event: NDSS Symposium 2012


This paper presents an online spam filtering system to inspect messages in online social networks. We propose to use text shingling and incremental clustering to reconstruct spam messages into campaigns in real-time for classification rather than examine them individually. Accordingly, the system adopts novel features that effectively characterize spam campaigns.