An Electronic Credential Data Analysis Method based on Differential Privacy

Abstract

In terms of the rapid development of electronic information technology, electronic credentials are widely used in all walks of life. The data analysis of electronic credentials has great social and commercial value. However, the disclosure of a large number of sensitive information has brought many threats and losses to users. Therefore, the privacy protection of sensitive information in electronic credentials has become a key and hot issue in the process of data analysis. Aiming at the problem of electronic credential data analysis and privacy protection under the background of big data of electronic credentials, this paper proposes an electronic credential data analysis method based on differential privacy protection, which integrates differential privacy protection with incremental clustering algorithm. The proposed method can analyze massive electronic credential data and ensure that sensitive information in electronic credentials is not leaked. The experimental analysis shows that this method can realize the clustering analysis of large scale and high dimensional electronic credential data under the premise of data privacy protection.