Data Source Related Minimum Set Coverage Localization Differential Privacy Protection Algorithm

With the progress of data mining technology and a large number of data sharing, through the mining of information from multiple data sources, the risk of privacy disclosure caused by the data associated with sensitive data has greatly increased. This paper studies the problem of privacy disclosure in multiple data sources. Based on the existing privacy protection mechanism and combined with the set coverage problem, a new privacy protection mechanism sc-dp is proposed, and the availability of the algorithm is proved by experiments. The data source related minimum set covering location differential privacy protection algorithm is a data source related minimum set covering location differential privacy protection algorithm, which can be used to protect users’ sensitive information. The minimum set coverage location differential privacy protection algorithm related to data source is based on statistical technology, which uses maximum entropy as an important part of this technology. The output of this technique will be a binary string, one of which will indicate whether each input variable matches.