@conference {232,
	title = {Random anonymization of mobile sensor data: Modified Android framework},
	booktitle = {Intelligence and Security Informatics (ISI), 2015 IEEE International Conference on},
	year = {2015},
	month = {May},
	abstract = {<p>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.</p>
},
	keywords = {Accelerometers, Android, anonymized, application level, Data models, data privacy, Hidden Markov models, Mobile communication, mobile computing, mobile sensor data, mobile users, modified Android framework, operating system level, pervasive, Privacy, privacy concerns, provider, random anonymization, RANDSOM, RANDSOM framework, sensor data privacy, service providers, smart phone, smart phones, telecommunication security, third party applications},
	doi = {10.1109/ISI.2015.7165968},
	author = {Claiborne, Cynthia and Ncube, Cathy and Ram Dantu}
}
@conference {235,
	title = {Android Sensor Data Anonymization},
	booktitle = {Research in Attacks, Intrusions, and Defenses: 16th International Symposium, RAID 2013, Rodney Bay, St. Lucia, October 23-25, 2013, Proceedings},
	year = {2013},
	publisher = {Springer},
	organization = {Springer},
	author = {Claiborne, Cynthia and Fazeen, Mohamed and Ram Dantu}
}
