Outsourcing Cloud Data Privacy-Preserving Based On Over Encryption

Abstract

In the real world, companies would publish social networks to a third party, e.g., a cloud service provider, for marketing reasons. Preserving privacy when publishing social network data becomes an important issue. In this paper, we identify a novel type of privacy attack, termed 1*-neighborhood attack. We assume that an attacker has knowledge about the degrees of a target’s one-hop neighbors, in addition to the target’s 1-neighborhood graph, which consists of the one-hop neighbors of the target and the relationships among these neighbors.