Research on Privacy-preserving in Distributed Mining Based on the Attribute Similarity

It´s of profound significance to preserve privacy in the distributed data mining process. Based on the NDTree´s attribute similarity algorithm and combined with the HES homomorphism encryption algorithm, this paper constructs the HE-NDT which is a privacy-preserving distributed database of decision tree mining algorithm. The theory and experimental results indicates that this algorithm can achieve improvements in terms of privacy, accuracy, and efficiency.