Sensor Data Privacy
Sensor Data Privacy is a formal construct in the domain of data privacy that specifies the principles and mechanisms governing the protection of personally identifiable and sensitive information collected by sensors in IoT and mobile health systems, distinguishing it from broader privacy frameworks through its focus on real-time, continuous, and context-rich data streams generated by physical and physiological monitoring devices.
193
Publications
10.3K
Citations
716
Authors
296
Institutions
Publications per year
2017–2026
88
193
Wireless Sensor Networks for Healthcare
JeongGil Ko, Chenyang Lu, Mani Srivastava et al. · Proceedings of the IEEE · 2010 · 728 citations
Privacy preservation in wireless sensor networks: A state-of-the-art survey
Na Li, Nan Zhang, Sajal K. Das et al. · Ad Hoc Networks · 2009 · 310 citations
Mobile sensor data anonymization
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro et al. · 2019 · 257 citations · Full text
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296
Nanyang Technological University
Singapore, Singapore
8 h-index
20 publications
451 citations
University of California, Los Angeles
Los Angeles, United States
6 h-index
16 publications
1.4K citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
17 publications
1.8K citations
University of Washington
Seattle, United States
4 h-index
8 publications
527 citations
University of California, Irvine
Irvine, United States
4 h-index
17 publications
935 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
4 h-index
8 publications
1.1K citations
University of Oxford
Oxford, United Kingdom
4 h-index
7 publications
196 citations
Technical University of Munich
Munich, Germany
3 h-index
5 publications
133 citations
1–8 of 296
5 publications · 243 citations
5
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4 publications · 101 citations
4
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3 publications · 168 citations
3
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3 publications · 392 citations
3
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2 publications · 116 citations
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