Title :
Big Data Privacy: Changing Perception of Privacy
Author :
Qing Tan;Frederique Pivot
Author_Institution :
Sch. of Comput. &
Abstract :
In this Big Data era, digital data has been increased exponentially with great variety. While lots of data carrying personal information has been purposely entered online, a large amount of data has been logged from people´s online footprints. Big Data analytics has enabled researchers or other stakeholders to dig out data and then turn it into useful or interesting information to serve for whatever purpose and interest. As a society, there is no way to reverse information exploration, and as an individual, there is no more a safe haven for personal privacy. Individuals should be aware of the situation and take necessary measures to protect their own privacy, and most importantly change their perception of privacy. Starting with a brief review of privacy information and its rules, this paper proposes a classification of different online footprints where personal privacy could be compromised, then provides ideas and approaches to deal with the Big Data privacy.
Keywords :
"Privacy","Big data","Data privacy","Mobile handsets","Electronic mail","Temperature sensors"
Conference_Titel :
Smart City/SocialCom/SustainCom (SmartCity), 2015 IEEE International Conference on
DOI :
10.1109/SmartCity.2015.176