The Analyzing of Role of Big Data in Security and General Privacy Problems through Correlation Analysis

Abstract

Big data has just been extensively used across several businesses, which has significantly increased the number of different information systems. Numerous analysis techniques, such standard information mining or quantitative test techniques, are propelling the big data sector's continued growth. The potential to get new information via the evaluation, synthesis, and the use of existing data is one of big number's key features. Another is the idea that content from many sources does indeed have a life cycle that spans procurement through waste. But, concerns with infosec and dependability arise at every stage of a product's lifecycle, rendering the safety of data that can be used to precisely identify a people a key goal across the entire process. Numerous big data analysis approaches may be used to evaluate user activity, however collecting that data is against users' privacy. By examining current guidelines issued by international standardization groups and completing a review of research analysis, this paper explores risks and confidentiality issues that arise with delivery of enormous amounts of data.