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Privacy Preserving Similarity Detection for Data Analysis
2013
2013 International Conference on Cloud and Green Computing
Current applications tend to use personal sensitive information to achieve better quality with respect to their services. Since the third parties are not trusted the data must be protected such that individual data privacy is not compromised but at the same time operations on it would be compatible. A wide range of data analysis operations entails a similarity detection algorithm between user data. For instance clustering on big data groups together objects based on the heuristic that similar
doi:10.1109/cgc.2013.92
dblp:conf/cgc/LeontiadisOMCC13
fatcat:7oyw6xdii5bsposn2iktgpvpcy