Privacy-preserving Data Aggregation
Privacy-Preserving Data Aggregation is a data aggregation method that enables the collection and analysis of aggregate-level information from distributed IoT devices while ensuring individual data contributors' privacy through cryptographic, perturbation-based, or anonymization techniques.
496
Publications
29.1K
Citations
1.3K
Authors
515
Institutions
Publications per year
2017–2026
299
Parents
496
Security and Privacy for Cloud-Based IoT: Challenges
Jun Zhou, Zhenfu Cao, Xiaolei Dong et al. · IEEE Communications Magazine · 2017 · 651 citations
1–5 of 496
1.3K
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515
Nanyang Technological University
Singapore, Singapore
16 h-index
36 publications
2.8K citations

Guilin University of Electronic Technology
Guilin, China
16 h-index
43 publications
2.7K citations

University of Electronic Science and Technology of China
Chengdu, China
16 h-index
37 publications
1.9K citations

University of Waterloo
Waterloo, Canada
15 h-index
42 publications
6.1K citations
Nanjing University of Posts and Telecommunications
Nanjing, China
14 h-index
30 publications
2K citations
Ontario Tech University
Oshawa, Canada
13 h-index
19 publications
2.6K citations

Xidian University
Xi'an, China
13 h-index
35 publications
1.8K citations

King Saud University
Riyadh, Saudi Arabia
13 h-index
16 publications
1.3K citations
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37 publications · 2.2K citations
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18 publications · 1.2K citations
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15 publications · 1.7K citations
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13 publications · 1.2K citations
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ISJ · 13 publications · 581 citations
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