Telemetry Privacy
Telemetry Privacy is a methodological framework within telemetry management that specifies the principles and mechanisms for safeguarding personally identifiable and sensitive operational data collected through remote monitoring systems, distinguishing it from general data privacy approaches by its focus on the unique temporal, spatial, and contextual attributes inherent in telemetry data streams.
4
Publications
504
Citations
8
Authors
3
Institutions
Publications per year
2017–2026
3
Parents
4
Collecting Telemetry Data Privately
Bolin Ding, Janardhan Kulkarni, Sergey Yekhanin · arXiv (Cornell University) · 2017 · 265 citations · Full text
1–5 of 4
8
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 8
3
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
6 publications
1.4K citations
University of California, Berkeley
Berkeley, United States
1 h-index
3 publications
111 citations
Berkeley College
New York, United States
1 h-index
3 publications
111 citations
Purdue University West Lafayette
West Lafayette, United States
1 publications
14 citations
1–4 of 3
Repository · 1 publications · 265 citations
1
h-index
PoPETs · 1 publications · 37 citations
1
h-index
Conference · 1 publications · 192 citations
1
h-index
1 publications · 13 citations
1–4