A Comparative Study on Big data Masking Techn...

A Comparative Study on Big data Masking Techniques: A Survey

Author Name : T S Bharath, Dr. Channakrishnaraju, Dr. Prakash B R

ABSTRACT

In the present data world prescient examination, data designing plays an imperative part, data obtaining is completed from different source frameworks and cycle according to the business applications and space. Big Data coordinates, administers and protects big data with repeatable, dependable and viable cycles. Through volume, speed and grouping of data attributes attempt to uncover business regard from big data. Nonetheless, with data that is habitually lacking, clashing, ungoverned and unprotected, which dangerous and gigantic data is being a gamble rather than a benefit. Additionally, with ordinary techniques that are manual and eccentric, immense data adventures take excessively lengthy to recognize business regard. Sensibly and on passing on business regard from tremendous data requires another method. In this connection, raw data has to be moved between onsite and offshore environment during this course of action, data privacy is a major concern and challenge. A big data privacy platform can make it easier to detect, investigate, assess and remediate threats from intruders. This paper provides a complete study of big data privacy using various data masking techniques and it helps to research community to enhance the knowledge of data masking on application where they utilize big data.

Keywords: Big data, Sensitive data, Data masking, Dynamic data masking.