In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
@article{de:10.2824/641480,
author = {de, Montjoye YKJV},
doi = {10.2824/641480},
journal = {arXiv},
title = {Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics},
url = {http://dx.doi.org/10.2824/641480},
}
TY - JOUR
AB - The extensive collection and processing of personal information in big data analytics has given rise to serious privacy concerns, related to wide scale electronic surveillance, profiling, and disclosure of private data. To reap the benefits of analytics without invading the individuals' private sphere, it is essential to draw the limits of big data processing and integrate data protection safeguards in the analytics value chain. ENISA, with the current report, supports this approach and the position that the challenges of ...
AU - de,Montjoye YKJV
DO - 10.2824/641480
TI - Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics
T2 - arXiv
UR - http://dx.doi.org/10.2824/641480
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
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