TY - JOUR
T1 - Decentralized data processing
T2 - Personal data stores and the GDPR
AU - Janssen, Heleen
AU - Cobbe, Jennifer
AU - Norval, Chris
AU - Singh , Jat
N1 - We acknowledge the financial support of the Engineering & Physical Sciences Research Council (EP/P024394/1, EP/R033501/1), University of Cambridge via the Trust & Technology Initiative, and Microsoft via the Microsoft Cloud Computing Research Centre.
PY - 2020/12/28
Y1 - 2020/12/28
N2 - Online services are driven by data; functionality and value are derived from its processing. However, individuals generally have little visibility—let alone control—over what, how, why, and by whom their data are captured, analysed, transferred, stored, or otherwise used.1 In response to this, and to the growing public discourse regarding data-related issues, there is considerable focus by the computer science and engineering communities on developing privacy-enhancing technologies (PETs), ie technical tools and measures that can assist in addressing privacy concerns..
AB - Online services are driven by data; functionality and value are derived from its processing. However, individuals generally have little visibility—let alone control—over what, how, why, and by whom their data are captured, analysed, transferred, stored, or otherwise used.1 In response to this, and to the growing public discourse regarding data-related issues, there is considerable focus by the computer science and engineering communities on developing privacy-enhancing technologies (PETs), ie technical tools and measures that can assist in addressing privacy concerns..
UR - http://www.scopus.com/inward/record.url?scp=85100982605&partnerID=8YFLogxK
U2 - 10.1093/idpl/ipaa016
DO - 10.1093/idpl/ipaa016
M3 - Article
AN - SCOPUS:85100982605
SN - 2044-3994
VL - 10
SP - 356
EP - 384
JO - International Data Privacy Law
JF - International Data Privacy Law
IS - 4
ER -