Inference Attacks in Peer-to-Peer Homogeneous Distributed Data Mining

Spontaneous formation of peer-to-peer agent-based data mining systems seems a plausible scenario in years to come. However, the emergence of peer-to-peer environments further exacerbates privacy and security concerns that arise when performing data mining tasks. We analyze potential threats to data privacy in a peer-topeer agent-based distributed data mining scenario, and discuss inference attacks which could compromise data privacy in a peer-to-peer distributed clustering scheme known as KDEC.

• Type: Conference
• Year: 2004
• Where: ECAI
• Authors: Josenildo Costa da Silva, Matthias Klusch, Stefano Lodi, Gianluca Moro
• Keywords: Artificial Intelligence, Data Mining, Data Privacy, ECAI 2004, Peer-to-peer Agent-based Data