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Medicine and Health Sciences Commons

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Physical Sciences and Mathematics

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2010

Privacy

Articles 1 - 3 of 3

Full-Text Articles in Medicine and Health Sciences

Is Bluetooth The Right Technology For Mhealth?, Shrirang Mare, David Kotz Aug 2010

Is Bluetooth The Right Technology For Mhealth?, Shrirang Mare, David Kotz

Dartmouth Scholarship

Many people believe mobile healthcare (mHealth) would help alleviate the rising cost of healthcare and improve the quality of service. Bluetooth, which is the most popular wireless technology for personal medical devices, is used for most of the mHealth sensing applications. In this paper we raise the question – Is Bluetooth the right technology for mHealth? To instigate the discussion we discuss some shortcomings of Bluetooth and also point out an alternative solution.


Can I Access Your Data? Privacy Management In Mhealth, Aarathi Prasad, David Kotz Aug 2010

Can I Access Your Data? Privacy Management In Mhealth, Aarathi Prasad, David Kotz

Dartmouth Scholarship

Mobile health (mHealth) has become important in the field of healthcare information technology, as patients begin to use mobile medical sensors to record their daily activities and vital signs. Since their medical data is collected by their sensors, the patients may wish to control data collection and distribution, so as to protect their data and share it only when the need arises. It must be possible for patients to grant or deny access to the data on the storage unit (mobile phones or personal health records (PHR)). Thus, an efficient framework is required for managing patient consent electronically, i.e.to allow …


Privometer: Privacy Protection In Social Networks, Nilothpal Talukder, Mourad Ouzzani, Ahmed Elmagarmid, Hazem Elmeleegy Jan 2010

Privometer: Privacy Protection In Social Networks, Nilothpal Talukder, Mourad Ouzzani, Ahmed Elmagarmid, Hazem Elmeleegy

Cyber Center Publications

The increasing popularity of social networks, such as Facebook and Orkut, has raised several privacy concerns. Traditional ways of safeguarding privacy of personal information by hiding sensitive attributes are no longer adequate. Research shows that probabilistic classification techniques can effectively infer such private information. The disclosed sensitive information of friends, group affiliations and even participation in activities, such as tagging and commenting, are considered background knowledge in this process. In this paper, we present a privacy protection tool, called Privometer, that measures the amount of sensitive information leakage in a user profile and suggests selfsanitization actions to regulate the amount …