Cited By
View all- Tang WRen JZhang KZhang DZhang YShen X(2019)Efficient and Privacy-preserving Fog-assisted Health Data Sharing SchemeACM Transactions on Intelligent Systems and Technology10.1145/334110410:6(1-23)Online publication date: 24-Oct-2019
Poster: Balancing disclosure and utility of personal information
Pages 380 - 381
Abstract
The ubiquity of smartphones and mobile and wearable devices allow people to collect information about their health, wellness and lifestyle and share with others. If it is not clear what they need to share to receive benefits, subjects (people whose information is collected) might share too much, thus disclosing unnecessary private information. On the other hand, concerned about disclosing personal information, subjects might share less than what the recipient needs and lose the opportunity to enjoy the benefits. This balance of disclosure and utility is important when the subject wants to receive some benefits, but is concerned about disclosing private information.
We address this problem of balancing disclosure and utility of personal information collected by mobile technologies. We believe subjects can decide how best to share their information if they are aware of the benefits and risks of sharing. We developed ShareBuddy, a privacy-aware architecture that allows recipients to request information and specify the benefits the subjects will receive for sharing each piece of requested information; the architecture displays these benefits and warns subjects about the risks of sharing. We describe the ShareBuddy architecture in this poster.
Index Terms
- Poster: Balancing disclosure and utility of personal information
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Information
Published In
June 2014
410 pages
ISBN:9781450327930
DOI:10.1145/2594368
- General Chairs:
- Andrew Campbell,
- David Kotz,
- Program Chairs:
- Landon Cox,
- Z. Morley Mao
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 02 June 2014
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- Poster
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Conference
MobiSys'14
Sponsor:
MobiSys'14: The 12th Annual International Conference on Mobile Systems, Applications, and Services
June 16 - 19, 2014
New Hampshire, Bretton Woods, USA
Acceptance Rates
MobiSys '14 Paper Acceptance Rate 25 of 185 submissions, 14%;
Overall Acceptance Rate 274 of 1,679 submissions, 16%
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Cited By
View all- Tang WRen JZhang KZhang DZhang YShen X(2019)Efficient and Privacy-preserving Fog-assisted Health Data Sharing SchemeACM Transactions on Intelligent Systems and Technology10.1145/334110410:6(1-23)Online publication date: 24-Oct-2019
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