Personal information protection based on big data

Abstract

With the popularization and development of information technology, all walks of life have accumulated a large amount of rich data, which usually contains a lot of personal privacy information, and the direct release or analysis of it may cause the disclosure of privacy. Differential privacy, as a relatively new privacy protection model, can prevent the attack of the attacker with arbitrary background knowledge, and effectively solve the privacy threat problem in data release and analysis. This paper mainly studies the protection of personal information based on big data. In this paper, a position privacy protection scheme based on differential privacy in P2P mode is proposed, and the advantages of the scheme in performance are proved by experimental comparison and theoretical analysis.