ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774


PROTECTION OF BIG DATA USING THIRDPARTY AUDITING AND DATA DE-DUPLICATION

Abstract

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 agiant 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 

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