DocumentCode :
3006697
Title :
Challenges of Privacy Protection in Big Data Analytics
Author :
Jensen, Michael
Author_Institution :
Indep. Centre for Privacy Protection Schleswig-Holstein (ULD), Kiel, Germany
fYear :
2013
fDate :
June 27 2013-July 2 2013
Firstpage :
235
Lastpage :
238
Abstract :
The big data paradigm implies that almost every type of information eventually can be derived from sufficiently large datasets. However, in such terms, linkage of personal data of individuals poses a severe threat to privacy and civil rights. In this position paper, we propose a set of challenges that have to be addressed in order to perform big data analytics in a privacy-compliant way.
Keywords :
data analysis; data privacy; big data analytics; big data paradigm; privacy compliance; privacy protection; Context; Correlation; Couplings; Data handling; Data privacy; Data storage systems; Information management; big data; challenges; privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data (BigData Congress), 2013 IEEE International Congress on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5006-0
Type :
conf
DOI :
10.1109/BigData.Congress.2013.39
Filename :
6597142
Link To Document :
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