IMPLEMENTATION OF PROTECTION OF BIG DATA USING THIRD PARTY AUDITING AND DATA DE-DUPLICATION

Abstract

In recent years, huge information became a hot analysis topic. The increasing quantity of huge knowledge
additionally will increase the prospect of cracking the privacy of people. Since huge private information need high
procedure power and massive storage, distributed systems are used. As multiple parties are concerned in these systems,
the danger of privacy contravention is accumulated. There are different types of privacy-preserving mechanisms
developed for privacy protection at totally different stages (e.g., knowledge generation, knowledge storage, and
knowledge processing) of a giant knowledge life cycle. The main goal of this paper is to provide a comprehensive
summary of the privacy preservation mechanisms in huge knowledge and gift the challenges for existing mechanisms.
Above all, during this paper, we tend to explain the infrastructure of massive knowledge and therefore the onward
privacy-preserving mechanisms in every stage of the massive knowledge life cycle. What is more, we tend to discuss the
challenges and future analysis directions associated with privacy preservation in huge knowledge.