Encrypted Data Mining
Encrypted Data Mining is a computational methodology within the field of secure data analysis that enables the extraction of meaningful patterns and knowledge from datasets while they remain encrypted, distinguishing itself from traditional data mining by preserving data confidentiality through cryptographic techniques throughout the entire mining process.
46
Publications
2.7K
Citations
145
Authors
73
Institutions
Publications per year
2017–2026
27
Parents
46
1–5 of 46
145
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1–5 of 145
73

Xidian University
Xi'an, China
3 h-index
5 publications
182 citations

National University of Defense Technology
Changsha, China
2 h-index
10 publications
130 citations

Indian Institute of Technology Madras
Chennai, India
2 h-index
4 publications
142 citations

Victoria University
Melbourne, Australia
2 h-index
4 publications
187 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
6 publications
1.3K citations
Korea University
Seoul, South Korea
2 h-index
6 publications
66 citations

Bharathiar University
Coimbatore, India
1 h-index
1 publications
19 citations
MIT World Peace University
Pune, India
1 h-index
3 publications
36 citations
1–8 of 73
2 publications · 284 citations
2
h-index
2 publications · 25 citations
2
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Conference · 2 publications · 71 citations
2
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2 publications · 26 citations
2
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ISJ · 2 publications · 73 citations
2
h-index
1–5