TY - GEN
T1 - Enhanced user data privacy with pay-by-data model
AU - Wu, Chao
AU - Guo, Yike
PY - 2013
Y1 - 2013
N2 - Personal data collection is becoming pervasive these days, these data has the risk of being abused by current application and application marketplace model, because only the price of application is explicitly indicated without clear agreement on usage of data, and the granularity of data access authentication is not enough to protect users privacy. In this short paper, we propose a new model of user data privacy. Data usage of the application is explicitly shown, and controlled by an authentication service, to protect users from the abuse of their data, especially in mobile application.
AB - Personal data collection is becoming pervasive these days, these data has the risk of being abused by current application and application marketplace model, because only the price of application is explicitly indicated without clear agreement on usage of data, and the granularity of data access authentication is not enough to protect users privacy. In this short paper, we propose a new model of user data privacy. Data usage of the application is explicitly shown, and controlled by an authentication service, to protect users from the abuse of their data, especially in mobile application.
KW - Pay by data
KW - User data privacy
KW - application marketplace
KW - mobile privacy
UR - https://openalex.org/W2026608204
UR - https://www.scopus.com/pages/publications/84893231803
U2 - 10.1109/BigData.2013.6691688
DO - 10.1109/BigData.2013.6691688
M3 - Conference Paper published in a book
SN - 9781479912926
T3 - Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013
SP - 53
EP - 57
BT - Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013
PB - IEEE Computer Society
T2 - 2013 IEEE International Conference on Big Data, Big Data 2013
Y2 - 6 October 2013 through 9 October 2013
ER -