DocumentCode :
3274237
Title :
Random anonymization of mobile sensor data: Modified Android framework
Author :
Claiborne, Cynthia L. ; Ncube, Cathy ; Dantu, Ram
Author_Institution :
Univ. of North Texas, Denton, TX, USA
fYear :
2015
fDate :
27-29 May 2015
Firstpage :
182
Lastpage :
184
Abstract :
With the increasing ability to accurately classify activities of mobile users from what was once viewed as innocuous mobile sensor data, the risk of users compromising their privacy has risen exponentially. Currently, mobile owners cannot control how various applications handle the privacy of their sensor data, or even determine if a service provider is adversarial or trustworthy. To address these privacy concerns, third party applications have been designed to allow mobile users to have control over the data that is sent to service providers. However, these applications require users to set flags and parameters that place restrictions on the anonymized or real sensor data that is sent to the requestor. Therefore, in this paper, we introduce a new framework, RANDSOM, that moves the decision-making from the application level to the operating system level.
Keywords :
data privacy; mobile computing; smart phones; telecommunication security; RANDSOM framework; application level; mobile sensor data; mobile users; modified Android framework; operating system level; privacy concerns; random anonymization; sensor data privacy; service providers; third party applications; Accelerometers; Data models; Data privacy; Hidden Markov models; Mobile communication; Privacy; Smart phones; Android; RANDSOM; anonymized; pervasive; privacy; provider; smart phone;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Security Informatics (ISI), 2015 IEEE International Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4799-9888-3
Type :
conf
DOI :
10.1109/ISI.2015.7165968
Filename :
7165968
Link To Document :
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