Dynamic privacy management in pervasive sensor networks
This paper describes the design and implementation of a dynamic privacy management system aimed at enabling tangible privacy control and feedback in a pervasive sensor network. Our work began with the development of a potentially invasive sensor network (with high resolution video, audio, and motion...
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| Format: | Article |
| Language: | en_US |
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Springer Science + Business Media B.V.
2011
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| Online Access: | http://hdl.handle.net/1721.1/66150 https://orcid.org/0000-0002-6399-5776 https://orcid.org/0000-0002-0719-7104 |
| _version_ | 1826207346242617344 |
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| author | Gong, Nan-wei Laibowitz, Mathew Joel Paradiso, Joseph A |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Gong, Nan-wei Laibowitz, Mathew Joel Paradiso, Joseph A |
| author_sort | Gong, Nan-wei |
| collection | MIT |
| description | This paper describes the design and implementation of a dynamic privacy management system aimed at enabling tangible privacy control and feedback in a pervasive sensor network. Our work began with the development of a potentially invasive sensor network (with high resolution video, audio, and motion tracking capabilities) featuring different interactive applications that created incentive for accepting this network as an extension of people’s daily social space. A user study was then conducted to evaluate several privacy management approaches – an active badge system for both online and on-site control, on/off power switches for physically disabling the hardware, and touch screen input control. Results from a user study indicated that an active badge for on-site privacy control is the most preferable method among all provided options. We present a set of results that yield insight into the privacy/benefit tradeoff from various sensing capabilities in pervasive sensor networks and how privacy settings and user behavior relate in these environments. |
| first_indexed | 2024-09-23T13:47:54Z |
| format | Article |
| id | mit-1721.1/66150 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:47:54Z |
| publishDate | 2011 |
| publisher | Springer Science + Business Media B.V. |
| record_format | dspace |
| spelling | mit-1721.1/661502022-10-01T17:12:18Z Dynamic privacy management in pervasive sensor networks Gong, Nan-wei Laibowitz, Mathew Joel Paradiso, Joseph A Massachusetts Institute of Technology. Media Laboratory Program in Media Arts and Sciences (Massachusetts Institute of Technology) Paradiso, Joseph A. Paradiso, Joseph A. Gong, Nan-wei Laibowitz, Mathew Joel This paper describes the design and implementation of a dynamic privacy management system aimed at enabling tangible privacy control and feedback in a pervasive sensor network. Our work began with the development of a potentially invasive sensor network (with high resolution video, audio, and motion tracking capabilities) featuring different interactive applications that created incentive for accepting this network as an extension of people’s daily social space. A user study was then conducted to evaluate several privacy management approaches – an active badge system for both online and on-site control, on/off power switches for physically disabling the hardware, and touch screen input control. Results from a user study indicated that an active badge for on-site privacy control is the most preferable method among all provided options. We present a set of results that yield insight into the privacy/benefit tradeoff from various sensing capabilities in pervasive sensor networks and how privacy settings and user behavior relate in these environments. Things That Think Consortium 2011-10-03T14:02:15Z 2011-10-03T14:02:15Z 2010-11 Article http://purl.org/eprint/type/ConferencePaper 9783642169175 http://hdl.handle.net/1721.1/66150 Gong, Nan-Wei, Mathew Laibowitz, and Joseph A. Paradiso. “Dynamic Privacy Management in Pervasive Sensor Networks.” Ambient Intelligence. Ed. Boris Ruyter et al. Vol. 6439. Berlin : Springer Berlin Heidelberg, 2010. 96-106. (Lecture notes in computer science ; 6439) https://orcid.org/0000-0002-6399-5776 https://orcid.org/0000-0002-0719-7104 en_US http://dx.doi.org/10.1007/978-3-642-16917-5_10 Ambient Intelligence Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Springer Science + Business Media B.V. MIT web domain |
| spellingShingle | Gong, Nan-wei Laibowitz, Mathew Joel Paradiso, Joseph A Dynamic privacy management in pervasive sensor networks |
| title | Dynamic privacy management in pervasive sensor networks |
| title_full | Dynamic privacy management in pervasive sensor networks |
| title_fullStr | Dynamic privacy management in pervasive sensor networks |
| title_full_unstemmed | Dynamic privacy management in pervasive sensor networks |
| title_short | Dynamic privacy management in pervasive sensor networks |
| title_sort | dynamic privacy management in pervasive sensor networks |
| url | http://hdl.handle.net/1721.1/66150 https://orcid.org/0000-0002-6399-5776 https://orcid.org/0000-0002-0719-7104 |
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