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