A Review of Traditional and Neural Network Methods for Protecting Privacy in Big Data Analytics

Computing technology suffused the human environment and engenders copious amounts of data. An individual’s right to privacy means that they can choose what information is shared. The area of data analytics has changed as a result of big data’s introduction. If private information is not managed properly on the web, it becomes public. Data collection has become quicker because of modern technology. However, breaching people’s privacy poses an extreme concern. This study evaluates current privacy-preserving methods including traditional and neural network methods and describes the challenges of using them for heterogeneous data and how fuzzy neural networks are used in big data analytics to protect privacy.