Reference-based importance assessment model of identity information

The spread of individuals’ identity information brings about threats of information revealing. Although anonymity could keep individuals’ information from attackers and other unauthorized malicious, at mostly entirely anonymity does not adapt the need of authentication and authorization. To provide the fine-grained ability of privacy preservation, we propose IdRank a reference-based method for rating the importance of identity information objectively and mechanically and provide the implementation of the concrete algorithm. We analyze the result of IdRank and discuss some computing issues of the implementation of IdRank.