Detection of Obfuscated Attacks in Collaborative Recommender Systems

This paper discusses the various types of obfuscated attacks and their characteristics. The vulnerability of collaborative recommender systemshas been well established; particularly to reverse-engineered attacks designed to bias the system in an attacker’s favor. Recent research has begun to examine detection schemes to recognize and defeat the effects of known attack models. This paper proposes some ways of detecting an avoiding these attacks. We explore empirically the impact of these obfuscated attacks against systems with and without detection, and discuss alternate approaches to reducingthe effectiveness of such attacks.

link: http://maya.cs.depaul.edu/~mobasher/papers/wmbsb-ecai-ws06.pdf