Privacy preservation techniques in big data analytics: A survey

So much data is being collected from healthcare recipients, online banking users, online shoppers, and more, and what's worse is we're often letting companies do it without reading the terms of use, according to Rao et al. in this 2018 paper. So what can be done to better preserve our data privacy? The authors first look at four major threats to our data privacy (surveillance, disclosure, discrimination, and personal embracement and abuse), then delve into seven different techniques for preserving the privacy of our data. Giving their pros and cons, the authors finally propose a hybrid solution revolving around the concept of the "data lake" and privacy preserving algorithms.

Please to read the entire article.

You must be logged in to post a comment Login