Prevent Identity Disclosure in Social Network Data Study

Social networks (P2P network, online communications, and mobile computing) have become the global consumer phenomena in recent years. It its early days, few people foresaw that publishing the consumers’ data for merely research purpose will plague users today. The widespread deployment of wireless networking, mobile and embedded devices, sensor networks poses even greater risks to consumers’ privacy since adversaries have more power and resources to reveal individual’s identity and corresponding sensitive information. In this study, we propose a practical method, named k-DSA, to battle such attacks. The experimental results that our method advances existing approaches in anonymizing the network data, and the anonymized data are still usable for the research purpose.