Indexing Encrypted Data
Indexing Encrypted Data is a computational framework that enables efficient query processing over encrypted datasets by organizing ciphertexts into structured, searchable indices without decrypting the underlying data.
50
Publications
4.4K
Citations
172
Authors
76
Institutions
Publications per year
2017–2026
18
Parents
50
Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud
Bing Wang, Shucheng Yu, Wenjing Lou et al. · 2014 · 393 citations
Wenhai Sun, Shucheng Yu, Wenjing Lou et al. · IEEE Transactions on Parallel and Distributed Systems · 2014 · 348 citations
1–5 of 50
172
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3
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Nanjing University of Information Science and Technology, China
3 publications · 1.5K citations
3
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3
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3
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1–5 of 172
76

Nanjing University of Information Science and Technology
Nanjing, China
4 h-index
11 publications
4.6K citations
Virginia Tech
Blacksburg, United States
4 h-index
12 publications
2.7K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
4 publications
357 citations
Institute of Information Engineering
Beijing, China
3 h-index
4 publications
357 citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
10 publications
212 citations
RMIT University
Melbourne, Australia
3 h-index
3 publications
127 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
3 h-index
13 publications
292 citations
George Mason University
Fairfax, United States
3 h-index
3 publications
164 citations
1–8 of 76
4 publications · 90 citations
4
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TPDS · 2 publications · 1.5K citations
2
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JSA · 1 publications · 11 citations
1
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TDSC · 1 publications · 275 citations
1
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Repository · 1 publications · 10 citations
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1–5