Privacy Violation Patterns in Non-Relational Databases

Abstract

In 21st century data became the new oil. Every decision taken by organizations, governments, individuals is influenced by data. With analysis of data, one can predict market behaviour, can forecast

weather. With such high value, it is important to manage and access data. Data has been growing exponentially

since the late 1990s. there are many databases system used to store this data. Before the 2000’s mainly relational databases were used to store. But managing relational databases is expensive and complicated. To expand the capacity of relational databases hardware and skilled employees are needed. in the 2000s NoSQL databases were introduced. NoSQL database is fast, reliable, efficient, supports low-cost hardware up- gradation, and can store unstructured data. NoSQL databases are one the most preferred options as of today. With great speed and efficiency NoSQL rapidly became popular and widely used. But to achieve this function security is highly compromised. with a lot of security and privacy flaws data became more vulnerable to privacy breaching. many pieces of research have been done in the NoSQL domain to eliminate the flaws but all of them are scattered in this review paper we tried to synthesis the previous literature and compile all the repeating privacy violation patterns into one paper.