DocumentCode :
659481
Title :
Breaking the Arc: Risk control for Big Data
Author :
Hodges, D.A. ; Creese, Sadie
Author_Institution :
Dept. of Comput. Sci., Univ. of Oxford, Oxford, UK
fYear :
2013
fDate :
6-9 Oct. 2013
Firstpage :
613
Lastpage :
621
Abstract :
The use of Big Data technologies and analytics have the potential to revolutionise the world. The mass instrumentation of the planet and society is providing intelligence that is not only enhancing our personal lives, but also opening up new opportunities for addressing some of key environmental, social and economic challenges of the 21st century. Unfortunately, as with all technology, there is the potential for misuse; in the case of personal data the ability to gather, enrich and mine at extreme pace and volume could result in societal-scale privacy intrusions. We apply a model for identity across cyber and physical spaces to the question of risk control for personal-data in the context of big data analytics. Using a graphical model for identity we reflect on the response options we have and how such risk controls may or may not be effective.
Keywords :
Big Data; data mining; data privacy; graph theory; big data technology; economic challenge; environmental challenge; graphical model; risk control; social challenge; societal-scale privacy intrusion; Context; Cyberspace; Data handling; Data privacy; Data storage systems; Face; Information management; big-data; personal-data; privacy; risk; society;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data, 2013 IEEE International Conference on
Conference_Location :
Silicon Valley, CA
Type :
conf
DOI :
10.1109/BigData.2013.6691630
Filename :
6691630
Link To Document :
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