Building Security Mechanisms for Cross-Border Business Customer Data Analysis Based on Smart Computing

Dynamic social networks also suffer from privacy violation due to the continuous release of data. In order to defend against enemy attacks, a new dynamic privacy-preserving method is innovated, called Dynamic k w Re-Structured Diversity Anonymity ( k w -SDA). This method limits the probability of disclosure of node/community identities to 1 / k when data are continuously published by protecting individuals in groups. The graph based on the previous w − 1 is released, missing some graph alterations. The advantage of the proposed method is to save many features of the network while protecting privacy efficiently and effectively.