Template:Article of the week

From LIMSWiki
Revision as of 16:36, 7 January 2019 by Shawndouglas (talk | contribs) (Updated article of the week text.)
Jump to navigationJump to search
Fig1 Rao JofBigData2018 5.png

"Privacy preservation techniques in big data analytics: A survey"

Incredible amounts of data are being generated by various organizations like hospitals, banks, e-commerce, retail and supply chain, etc. by virtue of digital technology. Not only humans but also machines contribute to data streams in the form of closed circuit television (CCTV) streaming, web site logs, etc. Tons of data is generated every minute by social media and smart phones. The voluminous data generated from the various sources can be processed and analyzed to support decision making. However data analytics is prone to privacy violations. One of the applications of data analytics is recommendation systems, which are widely used by e-commerce sites like Amazon and Flipkart for suggesting products to customers based on their buying habits, leading to inference attacks. Although data analytics is useful in decision making, it will lead to serious privacy concerns. Hence privacy preserving data analytics became very important. This paper examines various privacy threats, privacy preservation techniques, and models with their limitations. The authors then propose a data lake-based modernistic privacy preservation technique to handle privacy preservation in unstructured data. (Full article...)

Recently featured:

The development and application of bioinformatics core competencies to improve bioinformatics training and education
Approaches to medical decision-making based on big clinical data
A new numerical method for processing longitudinal data: Clinical applications