DocumentCode :
659539
Title :
Enhanced user data privacy with pay-by-data model
Author :
Chao Wu ; Yike Guo
Author_Institution :
Dept. of Comput., Imperial Coll. London, London, UK
fYear :
2013
fDate :
6-9 Oct. 2013
Firstpage :
53
Lastpage :
57
Abstract :
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.
Keywords :
authorisation; data privacy; mobile computing; application marketplace model; data access authentication; data usage; mobile application; pay-by-data model; personal data collection; user data privacy; Authentication; Data collection; Data models; Data privacy; Mobile communication; Pricing; Privacy; Pay by data; User data privacy; application marketplace; mobile privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data, 2013 IEEE International Conference on
Conference_Location :
Silicon Valley, CA
Type :
conf
DOI :
10.1109/BigData.2013.6691688
Filename :
6691688
Link To Document :
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