Big Data analytics for privacy through ND-homomorphic encryption

Abstract

Rapidly rising the quantity of Big Data is an opportunity to flout the privacy of people. When high processing capacity and massive storage are required for Big Data, distributed networks have been used. There are several people involved in these activities, the system may contribute to privacy infringements frameworks have been developed for the preservation of privacy at various levels (e.g. information age, information the executives and information preparing) as for the existing pattern of huge information. We plan to frame this paper as a literature survey of these classifications, including the Privacy Processes in Big Data and the presentation of the Associate Challenges. Homomorphic encryption is particularised aimed at solitary single action on the ciphered information. Homomorphic enciphering is restrained to an honest operation on the encoded data. The reference to encryption project fulfils many accurate trading operations on coded numerical data; therefore, it protects the written in code-sensible information even more.

KEYWORDS:

• Security and confidentiality
• vast statistics data
• encryption
• nondeterministic
• fully homomorphic encryption

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

S. Saravanan

S. Saravanan is currently an Assistant Professor (Sr. G) in the Department of Computing Science and Engineering at SRM Institute of Science and Technology, Chennai, India. He completed his B.Tech degree in Information Technology at Anna University, Chennai. He did his M.E in Computer Science and Engineering at Anna University, Chennai. He obtained his Ph.D in Computer Science and Engineering at VIT University, Chennai. He published a number of papers in preferred Journals and chapters in books. His areas of interests include Big data Analytics, Image Processing and Data Mining.

N. Poornima

N. Poornima is currently working as an Assistant Professor in the Department of Data Science and Business Systems, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. She has completed her Ph.D in Computer Science from Vellore Institute of Technology, Chennai, India. Her current research interests include Data Mining, Machine Learning and Semantic web Technologies.